The Power of Social Validation: A Literature Review on How Likes, Comments, and Shares Shape User Behavior on Social Media

Abstract

This literature review examines the impact of social validation on user behavior on social media platforms, focusing on self-presentation, emotional responses, and
self-esteem. Users seek validation to enhance their self-esteem, establish social status, and reinforce a sense of belonging. However, they must navigate the tension
between seeking validation and maintaining authenticity, recognizing the limitations of social validation metrics. Emotional responses to social validation feedback
vary widely, with positive feedback leading to happiness and satisfaction, while negative feedback can trigger envy and disappointment. Social validation also
contributes to the construction of online identities, shaping how individuals present themselves and seek validation from others.
The societal implications of social validation include echo chambers and polarization, as individuals surround themselves with like-minded individuals and engage
primarily with content that reinforces their beliefs. The manipulation of social validation metrics raises ethical concerns, as artificial manipulation distorts
authenticity and trust on social media platforms. Privacy concerns arise due to the commodification of social validation, as user data is collected and used for
targeted advertising.
To harness the power of social validation, individuals, social media platforms, and society should develop a healthy perspective, promote self-awareness and self-
acceptance, and address ethical considerations. Future research should delve into specific populations and contexts, examine long-term impacts on mental health,
and develop effective interventions and strategies. Addressing ethical considerations and safeguarding privacy are also important areas for further exploration. By
recognizing the influence and implications of social validation, individuals, platforms, and society can harness its power for positive outcomes and cultivate a
healthier digital culture.

Full text

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
International Journal of Research Publication and Reviews
Journal homepage: www.ijrpr.com ISSN 2582-7421
The Power of Social Validation: A Literature Review on How Likes,
Comments, and Shares Shape User Behavior on Social Media
Noli B. Ballara, Ed.D.
Teacher Education Department - College of Education
Northern Iloilo State University
Estancia, Iloilo, noliballara@nisu.edu.ph
https://orcid.org/0009-0006-7484-5008
DOI: https://doi.org/10.55248/gengpi.4.723.51227
ABSTRACT
This literature review examines the impact of social validation on user behavior on social media platforms, focusing on self-presentation, emotional responses, and
self-esteem. Users seek validation to enhance their self-esteem, establish social status, and reinforce a sense of belonging. However, they must navigate the tension
between seeking validation and maintaining authenticity, recognizing the limitations of social validation metrics. Emotional responses to social validation feedback
vary widely, with positive feedback leading to happiness and satisfaction, while negative feedback can trigger envy and disappointment. Social validation also
contributes to the construction of online identities, shaping how individuals present themselves and seek validation from others.
The societal implications of social validation include echo chambers and polarization, as individuals surround themselves with like-minded individuals and engage
primarily with content that reinforces their beliefs. The manipulation of social validation metrics raises ethical concerns, as artificial manipulation distorts
authenticity and trust on social media platforms. Privacy concerns arise due to the commodification of social validation, as user data is collected and used for
targeted advertising.
To harness the power of social validation, individuals, social media platforms, and society should develop a healthy perspective, promote self-awareness and self-
acceptance, and address ethical considerations. Future research should delve into specific populations and contexts, examine long-term impacts on mental health,
and develop effective interventions and strategies. Addressing ethical considerations and safeguarding privacy are also important areas for further exploration. By
recognizing the influence and implications of social validation, individuals, platforms, and society can harness its power for positive outcomes and cultivate a
healthier digital culture.
Keywords: Social validation, User behavior, Social media, Self-presentation, Emotional responses, Self-esteem, Societal implications
Introduction
Social media has revolutionized communication and connectivity, transforming the way people interact, share information, and engage with one another
(Al-Quran, 2022; Bucci et al., 2019). Platforms such as Facebook, Twitter, Instagram, and YouTube have gained immense popularity, with billions of
users worldwide (Gongane et al., 2022; Kobiruzzaman, 2021; Yufada & Simanjuntak, 2023). Social media has become an integral part of daily life
(Karim et al., 2020), influencing various aspects of society, including social relationships, politics, marketing, and self-expression (Alhouti & Johnson,
2022; Grover et al., 2022). It has created new opportunities for individuals and businesses to connect, collaborate, and disseminate information on a global
scale (Abbas et al., 2022; Korcsmáros & Csinger, 2022). However, along with its benefits, social media has also raised concerns about privacy, mental
health, misinformation, and the impact of user behavior (Chen & Wang, 2021; Torous et al., 2021).
Social validation refers to the process by which individuals seek confirmation or approval from others, often through feedback, recognition, or acceptance
(Ghaemmaghami et al., 2021; Wellons et al., 2023). It plays a significant role in shaping human behavior, as people tend to conform to social norms and
seek acceptance within their social circles. In the context of social media platforms, social validation is often quantified through metrics such as likes,
comments, and shares (Martínek, 2021; T. Luo et al., 2020). These digital interactions serve as forms of validation, indicating social approval or
recognition for one's posts, photos, or ideas (Walther, 2022; Yenilmez Kacar, 2023). Users are motivated to seek social validation as it enhances their
self-esteem, establishes social status, and reinforces their sense of belonging.
Understanding the power of likes, comments, and shares in shaping user behavior is crucial for several reasons. It provides insights into the psychological
mechanisms underlying social validation and its impact on individuals' thoughts, emotions, and actions (Arora et al., 2022; Vrontis et al., 2021). By
examining how social media engagement affects user behavior, researchers can uncover patterns of conformity, self-presentation, and social influence.

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Studying social validation helps us comprehend the dynamics of online communities, the formation of echo chambers, and the spread of information and
trends (Terren & Borge-Bravo, 2021; Vrontis et al., 2021). This sheds light on the mechanisms that drive content virality, influencing public opinion and
shaping societal narratives. Investigating the power of social validation has practical implications for individuals, social media platforms, and society as
a whole. It can inform the development of strategies to promote healthy online behavior, mitigate negative effects on mental well-being, and foster
responsible engagement on social media platforms.
Thus, this study aimed to examine the power of social validation and its influence on user behavior on social media platforms. It explored various aspects
related to social validation, including self-presentation, emotional responses, self-esteem, and societal implications. The study focused on the impact of
social validation on individuals, social media platforms, and society as a whole.
The objective of this study was to provide a comprehensive understanding of the role of social validation in shaping user behavior on social media. It
aimed to explore the motivations behind seeking social validation, the emotional responses to validation feedback, and the implications for individuals,
social media platforms, and society. Additionally, the study aimed to identify the challenges and ethical considerations associated with social validation
on social media platforms. The goal was to contribute to the existing body of knowledge on this topic and provide insights that can inform future research
and guide the development of strategies to promote responsible and healthy engagement with social media.
Methods
The search strategy for this study involved several steps. Relevant keywords related to the study, such as ―social validation,‖ ―user behavior,‖ ―social
media,‖ ―self-presentation,‖ ―emotional responses,‖ ―self-esteem,‖ and ―societal implications,‖ were identified. These keywords formed the basis for the
search.
Various academic databases including pubmed, Scopus, Web of Science, and Google Scholar were selected to ensure a comprehensive search of relevant
literature. The identified keywords were combined using Boolean operators (AND, OR) to create search strings. For example, combinations like "social
validation AND social media," "user behavior AND self-presentation," and "emotional responses OR self-esteem" were used to refine the search.
The search strings were entered into the selected databases, and the search was conducted. The search results, including articles and other relevant sources,
were exported for further evaluation. The retrieved articles then underwent screening based on their titles and abstracts to determine their relevance to
the study. Articles that did not align with the research topic were excluded at this stage.
The remaining articles that passed the screening process underwent a thorough full-text review to assess their suitability for inclusion in the literature
review. Only articles that provided valuable insights into the power of social validation and its impact on user behavior were included.
To ensure a comprehensive review, citation tracking was performed to identify additional relevant studies. This involved examining the references cited
within the selected articles and searching for related articles that cited the included studies.
The key findings and themes from the selected articles were synthesized and analyzed to identify common patterns, trends, and insights related to the
power of social validation and its impact on user behavior. This data synthesis and analysis helped to form a comprehensive understanding of the topic
based on the available literature.
Discussion and Interpretation
The Need for Social Approval and Validation
The need for social approval and validation is deeply ingrained in human psychology (Tunçgenç et al., 2021). From an evolutionary perspective, social
acceptance and belongingness were crucial for survival in early human communities (Allen et al., 2022; Vinuales & Thomas, 2021). In today's digital
age, social media platforms have become powerful tools for fulfilling these innate needs. Likes, comments, and shares on social media serve as indicators
of social approval (Butkowski et al., 2019; Longobardi et al., 2020; Schreiner et al., 2021), and individuals seek these forms of validation to enhance their
self-esteem, establish their social status, and reinforce their sense of belonging (Ameen et al., 2022; Diefenbach & Anders, 2022; Schreiner et al., 2021).
On social media, individuals are constantly exposed to a curated version of others' lives, highlighting achievements, relationships, and experiences
(Anderson & Wood, 2021). This creates a fertile ground for social comparison, as users evaluate themselves against these idealized representations. Likes,
comments, and shares become quantifiable measures of popularity and success, fueling the desire for validation(Guinaudeau et al., 2022). Users engage
in upward social comparisons, comparing themselves to others who appear to have more likes or engagement, which can lead to feelings of inadequacy
or envy (Triệu et al., 2021). Conversely, individuals may engage in downward social comparisons, comparing themselves to those who have fewer likes
or engagement, resulting in feelings of superiority. This constant comparison and pursuit of validation drive user behavior as they strive to gain more
likes, comments, and shares to validate their self-worth and social standing.
The reinforcement of positive social validation on social media has a profound impact on individuals' well-being and sense of identity (Hoffner & Bond,
2022; Pang, 2022). When users receive positive feedback and validation through likes, comments, and shares, it triggers a release of dopamine in the
brain, creating feelings of pleasure and satisfaction (Bucyte, 2023; Okanovic & Agnès, 2023). This reinforces the behavior of seeking social validation,
as individuals become motivated to replicate the experience. Positive social validation provides a sense of accomplishment, boosts self-esteem, and

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affirms one's social identity. However, the absence of validation or receiving negative feedback can have adverse effects, leading to feelings of rejection,
lowered self-esteem, and even social anxiety.
Social Comparison Theory and Its Role in Social Media Behavior
Social Comparison Theory, proposed by Leon Festinger, suggests that individuals have a natural tendency to evaluate themselves by comparing their
attributes and abilities to those of others (Dong & Zhu, 2023; Esteves et al., 2021). On social media platforms, this theory becomes particularly relevant
as individuals are constantly exposed to carefully curated representations of others' lives. This exposure can lead to both upward and downward social
comparisons.
Upward social comparisons occur when individuals compare themselves to others who are perceived as more successful, attractive, or popular (Kang &
Liu, 2019; Lee, 2022; Pedalino & Camerini, 2022). On social media, users often encounter posts that showcase the highlights and achievements of others,
leading to feelings of envy, inadequacy, and a desire for greater social validation (Koyuturk et al., 2023; Panova & Carbonell, 2022). Seeing others
receiving numerous likes, comments, and shares may intensify the need for validation in one's own posts. Individuals may strive to emulate the perceived
success of others, seeking validation by garnering similar levels of engagement on their own content.
Conversely, individuals may engage in downward social comparisons by comparing themselves to those who are perceived as less successful or less
validated (Liu et al., 2019; Mackson et al., 2019). This can provide a temporary boost to self-esteem, as individuals may derive a sense of superiority
from perceiving themselves as more accomplished or popular than others. However, it is important to note that this sense of superiority may be illusory
and can lead to complacency or a false sense of self-worth.
The constant exposure to social comparisons on social media can significantly shape individuals' behavior (Sherlock & Wagstaff, 2019). The desire for
validation and the fear of social rejection drive individuals to seek more likes, comments, and shares (A. Tandon et al., 2021; Wegmann & Brand, 2019).
This may result in carefully curated content, the adoption of certain trends or styles, and an increased emphasis on creating a favorable image to generate
validation. Additionally, individuals may also selectively compare themselves to others based on specific attributes, such as physical appearance or
professional success, further influencing their behavior and the pursuit of social validation.
This suggests that social media platforms provide fertile ground for social comparisons, both upward and downward. Users are exposed to curated
representations of others' lives, which can trigger feelings of envy, inadequacy, or superiority. These comparisons significantly impact individuals'
behavior as they strive for greater social validation and seek to maintain a positive image in comparison to others. Understanding the influence of social
comparison theory on social media behavior can shed light on the motivations and dynamics behind users' pursuit of likes, comments, and shares.
Self-Esteem and Self-Worth in the Context of Social Validation
Social validation plays a crucial role in shaping individuals' self-esteem and self-worth in the context of social media (Abrar-ul-Hassan & Safdar, 2022;
Dhingra & Parashar, 2022; Ofuebe et al., 2022). The accumulation of likes, comments, and shares is often equated with social acceptance and popularity,
leading individuals to seek validation through their online presence (Tandon et al., 2022; Duffy et al., 2020). When individuals receive positive validation,
such as a high number of likes or positive comments, it serves as a reinforcement of their self-worth (Marengo et al., 2021). This validation affirms their
social identity, competence, and desirability, generating feelings of accomplishment and boosting their self-esteem.
The positive reinforcement of social validation triggers the release of neurotransmitters in the brain, such as dopamine, which are associated with pleasure
and reward (Dresp-Langley & Hutt, 2022). This neurological response reinforces the behavior of seeking validation, as individuals are motivated to
replicate the experience of receiving positive feedback (Thomas et al., 2023). The pursuit of social validation becomes an integral part of their online
presence and may drive individuals to carefully curate their content, seek attention, or engage in activities that are more likely to generate validation. In
this way, social validation becomes intertwined with individuals' self-perception and can significantly impact their overall self-esteem.
Moreover, a lack of validation or receiving negative feedback on social media can have detrimental effects on individuals' self-esteem and self-worth
(Krause et al., 2021; Meeus et al., 2019). When individuals do not receive the expected level of validation, they may interpret it as a reflection of their
worth or popularity (Alutaybi et al., 2020). They may internalize the absence of validation as a personal rejection or an indication of inadequacy, leading
to feelings of self-doubt and a decline in self-esteem. Negative comments or criticism can further exacerbate these feelings, as they may be perceived as
personal attacks or evidence of social disapproval (Delgado-Ballester et al., 2021). Continuous exposure to such experiences can result in heightened
self-consciousness, insecurity, and even social anxiety, as individuals become increasingly concerned about their online image and the validation they
receive.
It is important to recognize that social validation on social media is often influenced by external factors that may not necessarily reflect an individual's
true worth or value. The online environment is subject to various biases, such as popularity bias or the tendency to follow trends and conform to what is
perceived as popular. This can create a skewed perception of validation, as individuals may prioritize gaining likes and comments rather than focusing
on genuine self-expression. Moreover, the metrics of social validation, such as the number of likes, comments, and shares, are easily quantifiable but do
not capture the complexity and depth of human experiences and qualities.
Thus, social validation on social media has a significant impact on individuals' self-esteem and self-worth. Positive validation reinforces individuals' self-
perception, generating feelings of accomplishment and confidence. Conversely, a lack of validation or negative feedback can lead to a decline in self-
esteem and self-worth, triggering feelings of self-doubt and insecurity. It is essential for individuals to recognize the potential biases and limitations of

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social validation on social media and develop a healthy perspective that values authentic self-expression and personal growth beyond the metrics of
popularity.
Cognitive Biases and Their Influence on Social Validation
Cognitive biases have a significant impact on how individuals perceive and interpret social validation on social media platforms (Fu et al., 2020; Obadă,
2019). One such bias is the availability heuristic, which leads individuals to rely on easily accessible information when making judgments (Darioshi &
Lahav, 2021). In the context of social validation, this means that individuals may perceive content with a higher number of likes, comments, and shares
as more valuable or accurate simply because it is more visible and accessible (van der Linden, 2022). As a result, individuals may prioritize seeking
validation through posts that are more likely to receive high engagement, rather than focusing on the quality or authenticity of the content itself.
Social proof bias is another cognitive bias that heavily influences user behavior on social media (Geels & Tomas, 2022). This bias refers to the tendency
to conform to the actions and behaviors of others (Graef, 2023). When individuals see posts with a high number of likes, comments, and shares, they are
more inclined to follow the trend, assuming that the validation from others signifies the worth or popularity of the content (Klug et al., 2021). This bias
can create a sense of social pressure to conform, as individuals seek validation and acceptance by aligning themselves to popular opinions or trends.
Consequently, social validation becomes a powerful force in shaping user behavior, driving individuals to prioritize seeking validation through popular
content rather than expressing their authentic thoughts or opinions.
Confirmation bias, on the other hand, is another cognitive bias that influences how individuals seek social validation on social media (Modgil et al.,
2021). This bias refers to the tendency to seek out information that confirms one's existing beliefs or opinions while disregarding or downplaying
conflicting information (Garg, 2023). On social media, individuals may actively seek validation from others who share similar beliefs or opinions,
reinforcing their own biases and creating echo chambers. This confirmation bias can contribute to the polarization of online communities and the spread
of misinformation, as individuals prioritize validation over critical evaluation of information. The desire for validation can drive individuals to selectively
engage with content that aligns with their preconceived notions, reinforcing their existing beliefs and inhibiting open-mindedness.
Recognizing these cognitive biases is essential for both individuals and social media platforms. Individuals can develop a more critical and discerning
mindset when consuming and sharing content on social media, considering the quality and authenticity of the information rather than solely relying on
the popularity or validation it receives. Social media platforms, on the other hand, can leverage this understanding to design features and algorithms that
promote diverse perspectives and combat the formation of echo chambers. By mitigating the influence of cognitive biases on social validation dynamics,
platforms can foster a more inclusive and informed online environment that encourages critical thinking and reduces the negative impact of social
validation biases on user behavior.
The impact of likes and comments on content visibility and popularity
Several studies on social validation provide valuable insights into the mechanisms and effects of likes, comments, and shares on user behavior on social
media platforms. One area of investigation focuses on the impact of likes on content visibility and popularity. Studies have shown that posts with a higher
number of likes tend to receive more exposure within social media platforms (Li & Xie, 2020; O‘Day & Heimberg, 2021; Rathje et al., 2021). Algorithms
prioritize content that has garnered significant engagement, making it more likely to appear in users' feeds or recommendations (Eg et al., 2023; González‐
Bailón & Lelkes, 2023; Kim & Ellison, 2022). This visibility can further enhance the social validation of the content, as more users are exposed to it,
increasing the potential for additional likes and engagement. Understanding the relationship between likes and content visibility provides insights into
the mechanisms through which social validation influences the reach and impact of content on social media platforms.
Comments and discussions on social media platforms also play a crucial role in shaping user engagement (de Oliveira Santini et al., 2020; Shawky et al.,
2020). Studies examine how comments contribute to the perception of social validation and the subsequent engagement with a post. Research suggests
that posts with a higher number of comments tend to attract more attention and generate greater user engagement (Eslami et al., 2022; Segev, 2023).
Comments serve as a form of validation and provide opportunities for users to express their thoughts, engage in discussions, and build social connections.
Analyzing the influence of comments on user behavior helps shed light on the social dynamics and the role of interactive engagement in social validation
processes.
Another aspect of studies on social validation focuses on the virality of content and the role of shares in content dissemination (Denisova, 2022;
Himelboim & Golan, 2019). Shares have the potential to significantly amplify the reach and impact of content on social media platforms. Research
examines the factors that contribute to content going viral, such as the emotional appeal, novelty, or relevance to a particular audience (Bracciale et al.,
2021; Ehlers & Van Schalkwyk, 2021). Understanding the mechanisms of virality and the influence of shares provides insights into the dynamics of
social validation and the spread of information, trends, and narratives within online communities.
User attitudes towards likes, comments, and shares
User attitudes towards likes, comments, and shares on social media platforms can vary widely. Some users may attach great importance to these metrics,
considering them as indicators of their social standing and self-worth (Vannucci & McCauley Ohannessian, 2019). They may actively seek validation
through likes, comments, and shares, perceiving them as validation of their content, ideas, or appearance (Hollenbaugh, 2021; Jansom &
Pongsakornrungsilp, 2021). On the other hand, there are users who view these metrics with indifference or skepticism, recognizing their limitations and
potential for manipulation (Vraga & Tully, 2021). Exploring user attitudes towards social validation metrics provides insights into how individuals
perceive and interpret these forms of validation, and how these attitudes influence their behavior and well-being on social media.

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Social comparison plays a significant role in shaping user attitudes towards likes, comments, and shares (Ladhari et al., 2020; Saiphoo & Vahedi, 2019;
Talwar et al., 2019). Users may compare their own metrics to those of others, leading to feelings of envy, inadequacy, or superiority (Wilson & Stock,
2021). These social comparisons can influence how users value and interpret social validation metrics. For example, individuals who engage in upward
social comparisons may place greater importance on achieving high numbers of likes and shares, considering them as symbols of success and validation.
Understanding the influence of social comparison on user attitudes can shed light on the psychological processes underlying users' perceptions of social
validation metrics.
User attitudes towards social validation metrics can also be influenced by the culture and norms prevalent on a particular social media platform (Wiese
& Akareem, 2020). Different platforms have their own unique dynamics and expectations regarding likes, comments, and shares (Moran et al., 2019).
For instance, platforms that emphasize visual content may place greater emphasis on the number of likes or followers, while others may prioritize
engagement through comments and shares (Tafesse & Wood, 2023). Exploring the impact of platform culture and norms on user attitudes provides a
nuanced understanding of how individuals navigate and interpret social validation metrics within specific online communities (Akram et al., 2022;
Hamilton et al., 2022).
User attitudes towards likes, comments, and shares can be linked to their levels of satisfaction or dissatisfaction with social validation on social media
(Aji et al., 2020). Some users may find validation in receiving positive feedback and high engagement, leading to feelings of satisfaction and fulfillment
(D‘Arienzo et al., 2019). Others may experience dissatisfaction or disappointment when their posts do not receive the desired level of validation or when
they face negative comments or low engagement (Bui et al., 2022). Investigating the factors that contribute to user satisfaction or dissatisfaction with
social validation provides insights into the psychological impact of these metrics on user well-being and the formation of online self-perceptions.
Authenticity is an important aspect of user attitudes towards social validation metrics (Bailey et al., 2020; Pittman & Abell, 2021). Some users prioritize
genuine self-expression and may view high numbers of likes or shares as secondary to creating meaningful connections or sharing valuable content
(Bailey et al., 2020). They may be critical of the pursuit of validation for its own sake and prioritize quality over popularity (Gentina et al., 2021).
Exploring the role of authenticity in user attitudes towards social validation metrics provides insights into alternative perspectives and motivations,
highlighting the diversity of user experiences and attitudes on social media platforms.
Emotional responses to social validation feedback
Emotional responses play a crucial role in shaping individuals' experiences on social media platforms, particularly in the context of social validation
feedback (Benoit & DiTommaso, 2020). Social validation feedback refers to the likes, comments, and shares that users receive in response to their posts
or content (Shahbaznezhad et al., 2021). Understanding how individuals emotionally respond to this feedback is essential for comprehending the
psychological impact of social media engagement.
Research suggests that individuals experience a broad range of emotions in response to social validation feedback (Hasell & Nabi, 2023; Nicholas et al.,
2020). Positive emotions, such as happiness, satisfaction, and validation, are commonly reported when users receive high engagement on their posts
(Casaló et al., 2021; Lu & Lin, 2022). These positive emotions reinforce users' self-esteem and social belongingness (Kavaklı & Ünal, 2021; Marengo et
al., 2021). Conversely, negative emotions, including envy, disappointment, and frustration, may arise when users compare their own level of validation
with that of others or when they receive minimal engagement (Aldous et al., 2021; C. Yang et al., 2023). The intensity and type of emotional response
can vary based on personal characteristics, individual differences, and contextual factors.
Several factors contribute to the emotional responses individuals have towards social validation feedback (Hu et al., 2020; Kimiagari & Asadi Malafe,
2021). One significant factor is the perceived authenticity and genuineness of the feedback (Balaban & Szambolics, 2022; Campagna et al., 2023; J. Yang
et al., 2021). Users are more likely to experience positive emotions when they perceive the validation as sincere and meaningful. Additionally, the social
comparison process plays a role in emotional responses, as users compare their own validation metrics to those of others (Jiang & Ngien, 2020). This can
lead to either positive emotions if users perceive themselves as performing well in comparison or negative emotions if they perceive themselves as falling
short. Personal self-esteem and self-worth can also influence emotional responses, as individuals with higher self-esteem may be less affected by negative
feedback. (Gupta et al., 2021)
Emotional responses to social validation feedback can have both positive and negative implications for users' well-being (M. Luo & Hancock, 2020).
Positive emotional responses contribute to increased self-esteem, social connectedness, and subjective well-being. These emotions can enhance users'
motivation to continue engaging on social media and positively influence their overall psychological state (Verduyn et al., 2020; Wirtz et al., 2021).
However, negative emotional responses, such as envy or disappointment, can lead to decreased self-esteem, social comparison, and feelings of
inadequacy. Prolonged exposure to these negative emotions may contribute to psychological distress, anxiety, and reduced well-being.
Individuals employ various coping mechanisms and strategies to manage their emotional responses to social validation feedback. Some users may actively
seek more validation to counteract negative emotions or engage in social comparison as a means of self-improvement. Alternatively, users may adopt
avoidance strategies by reducing their reliance on social media or developing a more critical mindset towards social validation metrics. Research has also
highlighted the potential benefits of mindfulness and self-compassion as coping strategies for regulating emotional responses to social media engagement.

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Synthesis of the Findings
The literature review provides a comprehensive understanding of the power of social validation and its impact on user behavior on social media platforms.
One key finding is the significant role of social validation in shaping individuals' online experiences and behaviors. Users actively seek validation through
likes, comments, and shares to enhance their self-esteem, establish their social status, and reinforce their sense of belonging. The accumulation of positive
social validation triggers feelings of pleasure and satisfaction, while the absence of validation or negative feedback can lead to feelings of rejection and
lower self-esteem. This highlights the importance of social validation as a motivator for user engagement and behavior on social media.
Another important finding is the implications of social validation on self-presentation and identity construction. Users carefully curate their online
personas, presenting themselves in ways that align with social norms and seeking validation from others. However, this pursuit of validation can create a
tension between authenticity and conformity. Individuals strive to maintain their true selves while seeking approval from others, navigating the delicate
balance between self-expression and social acceptance. This finding underscores the complex interplay between social validation and individual identity
on social media platforms.
Emotional responses to social validation feedback also emerged as a significant finding. Users experience a wide range of emotions in response to social
validation, with positive feedback generating happiness, satisfaction, and validation, while negative feedback can trigger emotions such as envy,
disappointment, and frustration. The intensity and type of emotional response vary based on factors such as the perceived authenticity of the feedback,
social comparison processes, and individual self-esteem. Understanding these emotional responses is crucial in comprehending the psychological impact
of social validation and its implications for user well-being.
Moreover, the synthesis of findings reveals the societal implications of social validation on social media platforms. The formation of echo chambers and
polarization is a significant outcome, as users tend to surround themselves with like-minded individuals and engage primarily with content that reinforces
their existing beliefs. This can lead to limited exposure to diverse perspectives and a fragmentation of societal discourse. Additionally, the manipulation
of social validation metrics raises ethical concerns, as artificial manipulation distorts authenticity and trust on social media platforms. Privacy concerns
also arise as user data is collected and used for targeted advertising, further complicating the dynamics of social validation in the digital landscape.
The findings highlights the multifaceted nature of social validation and its profound impact on user behavior on social media platforms. It sheds light on
the motivations, emotional responses, and societal implications associated with seeking validation. These findings have implications for individuals,
social media platforms, and society as a whole. Understanding the power of social validation can inform the development of strategies to promote healthy
online behavior, mitigate negative effects on well-being, and foster responsible engagement on social media platforms. Further research is needed to
delve deeper into specific contexts, populations, and interventions to address the complex dynamics of social validation on social media.
Conclusion
In conclusion, the literature review highlights the profound influence of social validation on user behavior on social media platforms. The findings
demonstrate that social validation has a significant impact on various aspects of individuals' experiences in the online environment. It plays a crucial role
in the construction of online identities, shaping how individuals present themselves and seek validation from others. The desire for social validation
influences emotional responses, with positive validation leading to enhanced self-esteem and negative validation potentially causing feelings of
inadequacy or dissatisfaction. Social validation also has implications for self-perception, as individuals may engage in social comparison and develop a
distorted sense of self-worth based on the validation they receive.
Furthermore, the societal implications of social validation are evident. The formation of echo chambers and polarization occurs as individuals gravitate
towards like-minded individuals and engage primarily with content that reinforces their existing beliefs. This can hinder constructive dialogue and
contribute to societal divisions. Additionally, the literature highlights the darker side of social validation, including the manipulation of validation metrics,
which undermines the authenticity and trustworthiness of social media platforms. Privacy concerns also arise due to the commodification of social
validation, as user data is collected and used for targeted advertising and other commercial purposes.
The implications of social validation for individuals are indeed far-reaching. Users often seek social validation on social media platforms to enhance their
self-esteem, establish their social status, and reinforce their sense of belonging within their online communities. Likes, comments, and shares serve as
tangible indicators of acceptance and popularity, providing individuals with a sense of validation and recognition. However, it is important for individuals
to navigate the tension between seeking validation and maintaining authenticity.
In the pursuit of social validation, individuals may feel compelled to conform to the expectations and trends prevalent on social media. They may be
tempted to present an idealized version of themselves or cater their content to fit the preferences of their audience, rather than expressing their true selves.
This tension can create a discrepancy between the curated online persona and the authentic self, leading to feelings of inauthenticity and a diminished
sense of self-worth.
To navigate this tension, individuals should strive to develop a healthy perspective on social validation. This involves recognizing the limitations of
validation metrics as true indicators of self-worth and acknowledging that they only provide a partial glimpse into one's identity and value. It is essential
for individuals to cultivate self-awareness and self-acceptance, understanding that their worth extends beyond the metrics of social validation.

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Mindful engagement with social media is also crucial in fostering a healthier relationship with social validation. This entails being conscious of one's
motivations, emotions, and reactions when seeking validation or receiving feedback. Individuals can practice self-reflection and introspection to discern
whether their online behaviors and engagement align with their values and authentic selves. It is important to approach social media with a critical
mindset, questioning the influence of social validation on one's well-being and ensuring that online interactions align with one's true desires and
aspirations.
Promoting self-awareness, self-acceptance, and mindful engagement with social media can help individuals develop a healthier relationship with social
validation. By recognizing the limitations and potential pitfalls associated with seeking validation, individuals can prioritize authentic self-expression,
personal growth, and genuine connections. This shift in perspective allows individuals to derive satisfaction and fulfillment from their own values and
accomplishments, rather than relying solely on external validation. Ultimately, a balanced approach to social validation can contribute to improved well-
being, self-esteem, and a more authentic online presence.
Recommendations
To further advance our understanding and address the power of social validation, future research should delve into specific populations and contexts,
such as adolescents and marginalized communities, to examine the unique influences and effects. Longitudinal studies can provide insights into the long-
term impacts of social validation on mental health and well-being. Additionally, exploring effective interventions and strategies to promote healthy
engagement and combat manipulation is essential. It is also important to continue examining the ethical considerations associated with social validation,
including privacy concerns and responsible data practices.
By recognizing the influence and implications of social validation, individuals, social media platforms, and society can work towards harnessing its power
for positive outcomes. A balanced approach that values authentic self-expression, critical thinking, and responsible engagement can contribute to a
healthier and more meaningful online environment.
References
Abbas, A. F., Jusoh, A., Mas‘od, A., Alsharif, A. H., & Ali, J. (2022). Bibliometrix analysis of information sharing in social media. Cogent Business &
Management, 9(1). https://doi.org/10.1080/23311975.2021.2016556
Abi-Jaoude, E., Naylor, K. T., & Pignatiello, A. (2020). Smartphones, social media use and youth mental health. Canadian Medical Association Journal,
192(6), E136–E141. https://doi.org/10.1503/cmaj.190434
Abrar-ul-Hassan, S., & Safdar, G. (2022). Relationship between Self-esteem and Problematic Use of Facebook among University Students. ANNALS OF
SOCIAL SCIENCES AND PERSPECTIVE, 3(1), 199–217. https://doi.org/10.52700/assap.v3i1.83
Aji, P. M., Nadhila, V., & Sanny, L. (2020). Effect of social media marketing on Instagram towards purchase intention: Evidence from Indonesia‘s ready-
to-drink tea industry. International Journal of Data and Network Science, 91–104. https://doi.org/10.5267/j.ijdns.2020.3.002
Akram, M. S., Malhotra, N., Goraya, M. A. S., Shareef, M. A., Malik, A., & Lal, B. (2022). User engagement on global social networks: Examining the
roles of perceived brand globalness, identification and global identity. Technological Forecasting and Social Change, 181, 121771.
https://doi.org/https://doi.org/10.1016/j.techfore.2022.121771
Aldous, K. K., An, J., & Jansen, B. J. (2021). Measuring 9 Emotions of News Posts from 8 News Organizations across 4 Social Media Platforms for 8
Months. ACM Transactions on Social Computing, 4(4), 1–31. https://doi.org/10.1145/3516491
Alhouti, S., & Johnson, C. M. (2022). Web of Lies: Drivers and Consequences of Social Media (In)Authenticity. Journal of Promotion Management,
28(8), 1129–1164. https://doi.org/10.1080/10496491.2021.1955077
Allen, K.-A., Gray, D. L., Baumeister, R. F., & Leary, M. R. (2022). The Need to Belong: a Deep Dive into the Origins, Implications, and Future of a
Foundational Construct. Educational Psychology Review, 34(2), 1133–1156. https://doi.org/10.1007/s10648-021-09633-6
Al-Quran, M. W. M. (2022). Traditional media versus social media: challenges and opportunities. Technium: Romanian Journal of Applied Sciences and
Technology, 4(10), 145–160. https://doi.org/10.47577/technium.v4i10.8012
Alutaybi, A., Al-Thani, D., McAlaney, J., & Ali, R. (2020). Combating Fear of Missing Out (FoMO) on Social Media: The FoMO-R Method. In
International Journal of Environmental Research and Public Health (Vol. 17, Issue 17). https://doi.org/10.3390/ijerph17176128
Ameen, N., Cheah, J., & Kumar, S. (2022). It‘s all part of the customer journey: The impact of augmented reality, chatbots, and social media on the body
image and self‐esteem of Generation Z female consumers. Psychology & Marketing, 39(11), 2110–2129. https://doi.org/10.1002/mar.21715
Anderson, I. A., & Wood, W. (2021). Habits and the electronic herd: The psychology behind social media‘s successes and failures. Consumer Psychology
Review, 4(1), 83–99. https://doi.org/10.1002/arcp.1063
Arora, S. D., Singh, G. P., Chakraborty, A., & Maity, M. (2022). Polarization and social media: A systematic review and research agenda. Technological
Forecasting and Social Change, 183, 121942. https://doi.org/https://doi.org/10.1016/j.techfore.2022.121942

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
1859
Bailey, E. R., Matz, S. C., Youyou, W., & Iyengar, S. S. (2020). Authentic self-expression on social media is associated with greater subjective well-
being. Nature Communications, 11(1), 4889. https://doi.org/10.1038/s41467-020-18539-w
Balaban, D. C., & Szambolics, J. (2022). A Proposed Model of Self-Perceived Authenticity of Social Media Influencers. Media and Communication,
10(1). https://doi.org/10.17645/mac.v10i1.4765
Benoit, A., & DiTommaso, E. (2020). Attachment, loneliness, and online perceived social support. Personality and Individual Differences, 167, 110230.
https://doi.org/https://doi.org/10.1016/j.paid.2020.110230
Bracciale, R., Andretta, M., & Martella, A. (2021). Does populism go viral? How Italian leaders engage citizens through social media. Information,
Communication & Society, 24(10), 1477–1494. https://doi.org/10.1080/1369118X.2021.1874472
Bucci, S., Schwannauer, M., & Berry, N. (2019). The digital revolution and its impact on mental health care. Psychology and Psychotherapy: Theory,
Research and Practice, 92(2), 277–297. https://doi.org/10.1111/papt.12222
Bucyte, S. (2023). Habit or addiction? A qualitative exploration of Instagram and addictive design characteristics [Aalto University].
http://urn.fi/URN:NBN:fi:aalto-202307094452
Bui, M. (Myla), Krishen, A. S., Anlamlier, E., & Berezan, O. (2022). Fear of missing out in the digital age: The role of social media satisfaction and
advertising engagement. Psychology & Marketing, 39(4), 683–693. https://doi.org/10.1002/mar.21611
Butkowski, C. P., Dixon, T. L., & Weeks, K. (2019). Body Surveillance on Instagram: Examining the Role of Selfie Feedback Investment in Young
Adult Women‘s Body Image Concerns. Sex Roles, 81(5), 385–397. https://doi.org/10.1007/s11199-018-0993-6
Campagna, C. L., Donthu, N., & Yoo, B. (2023). Brand authenticity: literature review, comprehensive definition, and an amalgamated scale. Journal of
Marketing Theory and Practice, 31(2), 129–145. https://doi.org/10.1080/10696679.2021.2018937
Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2021). Be creative, my friend! Engaging users on Instagram by promoting positive emotions. Journal
of Business Research, 130, 416–425. https://doi.org/10.1016/J.JBUSRES.2020.02.014
Chen, J., & Wang, Y. (2021). Social Media Use for Health Purposes: Systematic Review. Journal of Medical Internet Research, 23(5), e17917.
https://doi.org/10.2196/17917
D‘Arienzo, M. C., Boursier, V., & Griffiths, M. D. (2019). Addiction to Social Media and Attachment Styles: A Systematic Literature Review.
International Journal of Mental Health and Addiction, 17(4), 1094–1118. https://doi.org/10.1007/s11469-019-00082-5
Darioshi, R., & Lahav, E. (2021). The impact of technology on the human decision-making process. Human Behavior and Emerging Technologies, 3(3),
391–400. https://doi.org/10.1002/hbe2.257
de Oliveira Santini, F., Ladeira, W. J., Pinto, D. C., Herter, M. M., Sampaio, C. H., & Babin, B. J. (2020). Customer engagement in social media: a
framework and meta-analysis. Journal of the Academy of Marketing Science, 48(6), 1211–1228. https://doi.org/10.1007/s11747-020-00731-5
Delgado-Ballester, E., López-López, I., & Bernal-Palazón, A. (2021). Why Do People Initiate an Online Firestorm? The Role of Sadness, Anger, and
Dislike. International Journal of Electronic Commerce, 25(3), 313–337. https://doi.org/10.1080/10864415.2021.1943173
Denisova, A. (2022). Viral journalism. Strategy, tactics and limitations of the fast spread of content on social media: Case study of the United Kingdom
quality publications. Journalism, 14648849221077748. https://doi.org/10.1177/14648849221077749
Dhingra, R., & Parashar, B. (2022). Validation on Social Media and Adolescents: A matter of self esteem. Journal for Educators, Teachers and Trainers,
13(4). https://doi.org/10.47750/jett.2022.13.04.017
Diefenbach, S., & Anders, L. (2022). The psychology of likes: Relevance of feedback on Instagram and relationship to self-esteem and social status.
Psychology of Popular Media, 11(2), 196–207. https://doi.org/10.1037/ppm0000360
Dong, Y., & Zhu, Q. (2023). How Downward Social Comparison Motivates Workers: A Structural Equation Model on Personality, Social Comparison
Orientation, Motivation and Performance. Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications, 207–212.
https://doi.org/https://doi.org/10.1145/3587889.3588201
Dresp-Langley, B., & Hutt, A. (2022). Digital Addiction and Sleep. International Journal of Environmental Research and Public Health, 19(11), 6910.
https://doi.org/10.3390/ijerph19116910
Duffy, A., Tandoc, E., & Ling, R. (2020). Too good to be true, too good not to share: the social utility of fake news. Information, Communication &
Society, 23(13), 1965–1979. https://doi.org/10.1080/1369118X.2019.1623904
Eg, R., Demirkol Tønnesen, Ö., & Tennfjord, M. K. (2023). A scoping review of personalized user experiences on social media: The interplay between
algorithms and human factors. Computers in Human Behavior Reports, 9, 100253. https://doi.org/10.1016/j.chbr.2022.100253
Ehlers, L., & Van Schalkwyk, S. (2021). Product videos ―gone viral‖: Exploring the role of content, positive affect and social motivations. Communicare:
Journal for Communication Sciences in Southern Africa, 40(2), 43–62. https://hdl.handle.net/10520/ejc-comcare_v40_n2_a3

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
1860
Eslami, S. P., Ghasemaghaei, M., & Hassanein, K. (2022). Understanding consumer engagement in social media: The role of product lifecycle. Decision
Support Systems, 162, 113707. https://doi.org/https://doi.org/10.1016/j.dss.2021.113707
Esteves, J., Valogianni, K., & Greenhill, A. (2021). Online social games: The effect of social comparison elements on continuance behaviour. Information
& Management, 58(4), 103452. https://doi.org/https://doi.org/10.1016/j.im.2021.103452
Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of
information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307.
https://doi.org/10.1016/j.ipm.2020.102307
Garg, G. (2023). The Illusion of Perception: How Our Mind Trick Us. Gaurav Garg.
https://books.google.com.ph/books?hl=en&lr=&id=hR60EAAAQBAJ&oi=&redir_esc=y
Geels, G. J., & Tomas, F. (2022). Evoking more accurate evaluations of online (dis-) information through design patterns.
http://arno.uvt.nl/show.cgi?fid=159425
Gentina, E., Chen, R., & Yang, Z. (2021). Development of theory of mind on online social networks: Evidence from Facebook, Twitter, Instagram, and
Snapchat. Journal of Business Research, 124, 652–666. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.03.001
Ghaemmaghami, M., Hanley, G. P., & Jessel, J. (2021). Functional communication training: From efficacy to effectiveness. Journal of Applied Behavior
Analysis, 54(1), 122–143. https://doi.org/10.1002/jaba.762
Gongane, V. U., Munot, M. V, & Anuse, A. D. (2022). Detection and moderation of detrimental content on social media platforms: current status and
future directions. Social Network Analysis and Mining, 12(1), 129. https://doi.org/10.1007/s13278-022-00951-3
González‐Bailón, S., & Lelkes, Y. (2023). Do social media undermine social cohesion? A critical review. Social Issues and Policy Review, 17(1), 155–
180. https://doi.org/10.1111/sipr.12091
Graef, I. (2023). The EU Regulatory Patchwork for Dark Patterns: An Illustration of an Inframarginal Revolution in European Law? SSRN Electronic
Journal. https://doi.org/10.2139/ssrn.4411537
Grover, P., Kar, A. K., & Dwivedi, Y. (2022). The evolution of social media influence - A literature review and research agenda. International Journal
of Information Management Data Insights, 2(2), 100116. https://doi.org/https://doi.org/10.1016/j.jjimei.2022.100116
Guinaudeau, B., Vottax, F., & Munger, K. (2022). Fifteen Seconds of Fame: TikTok and the Supply Side of Social Video. Computational Communication
Research, 4(2), 463–485. https://doi.org/https://doi.org/10.5117/CCR2022.2.004.GUIN
Gupta, A., Dhiman, N., Yousaf, A., & Arora, N. (2021). Social comparison and continuance intention of smart fitness wearables: an extended expectation
confirmation theory perspective. Behaviour & Information Technology, 40(13), 1341–1354. https://doi.org/10.1080/0144929X.2020.1748715
Hamilton, J. L., Nesi, J., & Choukas-Bradley, S. (2022). Reexamining Social Media and Socioemotional Well-Being Among Adolescents Through the
Lens of the COVID-19 Pandemic: A Theoretical Review and Directions for Future Research. Perspectives on Psychological Science, 17(3), 662–679.
https://doi.org/10.1177/17456916211014189
Hasell, A., & Nabi, R. L. (2023). Emotion, Information Sharing, and Social Media. Emotions in the Digital World: Exploring Affective Experience and
Expression in Online Interactions, 381. https://books.google.com.ph/books?hl=en&lr=&id=5mfKEAAAQBAJ
Himelboim, I., & Golan, G. J. (2019). A Social Networks Approach to Viral Advertising: The Role of Primary, Contextual, and Low Influencers. Social
Media + Society, 5(3), 2056305119847516. https://doi.org/10.1177/2056305119847516
Hoffner, C. A., & Bond, B. J. (2022). Parasocial relationships, social media, & well-being. Current Opinion in Psychology, 45, 101306.
https://doi.org/https://doi.org/10.1016/j.copsyc.2022.101306
Hollenbaugh, E. E. (2021). Self-presentation in social media: Review and research opportunities. Review of Communication Research, 9, 80–98.
https://rcommunicationr.org/index.php/rcr/article/view/71
Hu, L., Min, Q., Han, S., & Liu, Z. (2020). Understanding followers‘ stickiness to digital influencers: The effect of psychological responses. International
Journal of Information Management, 54, 102169. https://doi.org/10.1016/J.IJINFOMGT.2020.102169
Jansom, A., & Pongsakornrungsilp, S. (2021). How Instagram Influencers Affect the Value Perception of Thai Millennial Followers and Purchasing
Intention of Luxury Fashion for Sustainable Marketing. Sustainability, 13(15), 8572. https://doi.org/10.3390/su13158572
Jiang, S., & Ngien, A. (2020). The Effects of Instagram Use, Social Comparison, and Self-Esteem on Social Anxiety: A Survey Study in Singapore.
Social Media + Society, 6(2), 205630512091248. https://doi.org/10.1177/2056305120912488
Kang, J., & Liu, B. (2019). A Similarity Mindset Matters on Social Media: Using Algorithm-Generated Similarity Metrics to Foster Assimilation in
Upward Social Comparison. Social Media + Society, 5(4), 2056305119890884. https://doi.org/10.1177/2056305119890884

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
1861
Karim, F., Oyewande, A., Abdalla, L. F., Chaudhry Ehsanullah, R., & Khan, S. (2020). Social Media Use and Its Connection to Mental Health: A
Systematic Review. Cureus. https://doi.org/10.7759/cureus.8627
Kavaklı, M., & Ünal, G. (2021). The effects of social comparison on the relationships among social media addiction, self-esteem, and general
belongingness levels. Current Issues in Personality Psychology, 9(2), 114–124. https://doi.org/10.5114/cipp.2021.105349
Kim, D. H., & Ellison, N. B. (2022). From observation on social media to offline political participation: The social media affordances approach. New
Media & Society, 24(12), 2614–2634. https://doi.org/10.1177/1461444821998346
Kimiagari, S., & Asadi Malafe, N. S. (2021). The role of cognitive and affective responses in the relationship between internal and external stimuli on
online impulse buying behavior. Journal of Retailing and Consumer Services, 61, 102567. https://doi.org/10.1016/J.JRETCONSER.2021.102567
Klug, D., Qin, Y., Evans, M., & Kaufman, G. (2021). Trick and Please. A Mixed-Method Study On User Assumptions About the TikTok Algorithm.
13th ACM Web Science Conference 2021, 84–92. https://doi.org/10.1145/3447535.3462512
Kobiruzzaman, M. M. (2021). Role of social media in disaster management in bangladesh towards the COVID-19 pandemic: A critical review and
directions. International Journal of Education and Knowledge Management (IJEKM), 4(2), 1–14. https://rpajournals.com/wp-
content/uploads/2021/04/IJEKM-2021-03-39.pdf
Korcsmáros, E., & Csinger, B. (2022). Sustainable Competitiveness in the Case of SMEs—Opportunities Provided by Social Media in an International
Comparison. Sustainability, 14(19), 12505. https://doi.org/10.3390/su141912505
Koyuturk, C., Yavari, M., Theophilou, E., Bursic, S., Donabauer, G., Telari, A., Testa, A., Boiano, R., Gabbiadini, A., Hernandez-Leo, D., & others.
(2023). Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy.
ArXiv Preprint ArXiv:2306.10645. https://doi.org/https://doi.org/10.48550/arXiv.2306.10645
Krause, H.-V., Baum, K., Baumann, A., & Krasnova, H. (2021). Unifying the detrimental and beneficial effects of social network site use on self-esteem:
a systematic literature review. Media Psychology, 24(1), 10–47. https://doi.org/10.1080/15213269.2019.1656646
Ladhari, R., Massa, E., & Skandrani, H. (2020). YouTube vloggers‘ popularity and influence: The roles of homophily, emotional attachment, and
expertise. Journal of Retailing and Consumer Services, 54, 102027. https://doi.org/https://doi.org/10.1016/j.jretconser.2019.102027
Lee, J. K. (2022). The effects of social comparison orientation on psychological well-being in social networking sites: Serial mediation of perceived
social support and self-esteem. Current Psychology, 41(9), 6247–6259. https://doi.org/10.1007/s12144-020-01114-3
Li, Y., & Xie, Y. (2020). Is a Picture Worth a Thousand Words? An Empirical Study of Image Content and Social Media Engagement. Journal of
Marketing Research, 57(1), 1–19. https://doi.org/10.1177/0022243719881113
Liu, P., He, J., & Li, A. (2019). Upward social comparison on social network sites and impulse buying: A moderated mediation model of negative affect
and rumination. Computers in Human Behavior, 96, 133–140. https://doi.org/https://doi.org/10.1016/j.chb.2019.02.003
Longobardi, C., Settanni, M., Fabris, M. A., & Marengo, D. (2020). Follow or be followed: Exploring the links between Instagram popularity, social
media addiction, cyber victimization, and subjective happiness in Italian adolescents. Children and Youth Services Review, 113, 104955.
https://doi.org/https://doi.org/10.1016/j.childyouth.2020.104955
Lu, J. D. (Evelyn), & Lin, J. S. (Elaine). (2022). Exploring uses and gratifications and psychological outcomes of engagement with Instagram Stories.
Computers in Human Behavior Reports, 6, 100198. https://doi.org/10.1016/J.CHBR.2022.100198
Luo, M., & Hancock, J. T. (2020). Self-disclosure and social media: motivations, mechanisms and psychological well-being. Current Opinion in
Psychology, 31, 110–115. https://doi.org/https://doi.org/10.1016/j.copsyc.2019.08.019
Luo, T., Freeman, C., & Stefaniak, J. (2020). ―Like, comment, and share‖—professional development through social media in higher education: A
systematic review. Educational Technology Research and Development, 68(4), 1659–1683. https://doi.org/10.1007/s11423-020-09790-5
Mackson, S. B., Brochu, P. M., & Schneider, B. A. (2019). Instagram: Friend or foe? The application‘s association with psychological well-being. New
Media & Society, 21(10), 2160–2182. https://doi.org/10.1177/1461444819840021
Marengo, D., Montag, C., Sindermann, C., Elhai, J. D., & Settanni, M. (2021). Examining the links between active Facebook use, received likes, self-
esteem and happiness: A study using objective social media data. Telematics and Informatics, 58, 101523.
https://doi.org/https://doi.org/10.1016/j.tele.2020.101523
Marengo, D., Montag, C., Sindermann, C., Elhai, J. D., & Settanni, M. (2021). Examining the links between active Facebook use, received likes, self-
esteem and happiness: A study using objective social media data. Telematics and Informatics, 58, 101523. https://doi.org/10.1016/J.TELE.2020.101523
Martínek, A.P. (2021). Mapping methods of research on consumer engagement with brands on social media: A literature review. Methodological
Innovations, 14(1), 205979912098538. https://doi.org/10.1177/2059799120985384

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
1862
Meeus, A., Beullens, K., & Eggermont, S. (2019). Like me (please?): Connecting online self-presentation to pre- and early adolescents‘ self-esteem. New
Media & Society, 21(11–12), 2386–2403. https://doi.org/10.1177/1461444819847447
Modgil, S., Singh, R. K., Gupta, S., & Dennehy, D. (2021). A Confirmation Bias View on Social Media Induced Polarisation During Covid-19.
Information Systems Frontiers. https://doi.org/10.1007/s10796-021-10222-9
Moran, G., Muzellec, L., & Johnson, D. (2019). Message content features and social media engagement: evidence from the media industry. Journal of
Product & Brand Management, 29(5), 533–545. https://doi.org/10.1108/JPBM-09-2018-2014
Nicholas, J., Onie, S., & Larsen, M. E. (2020). Ethics and Privacy in Social Media Research for Mental Health. Current Psychiatry Reports, 22(12), 1–
7. https://doi.org/10.1007/S11920-020-01205-9/METRICS
O‘Day, E. B., & Heimberg, R. G. (2021). Social media use, social anxiety, and loneliness: A systematic review. Computers in Human Behavior Reports,
3, 100070. https://doi.org/10.1016/j.chbr.2021.100070
Obadă, D.-R. (2019). Sharing fake news about brands on social media: a new conceptual model based on flow theory. Argumentum. Journal of the
Seminar of Discursive Logic, Argumentation Theory and Rhetoric, 17(2), 144–166. https://philpapers.org/rec/OBASFN
Ofuebe, J. I., Nweke, P. O., & Agu, F. U. (2022). Social media use on the mental health of undergraduate students with depression: Sociological
implications. International Journal of Youth Empowerment and Entrepreneurship Development, 4(1), 768–783.
https://www.researchgate.net/profile/Prince-
Nweke/publication/372077281_SOCIAL_MEDIA_USE_ON_THE_MENTAL_HEALTH_OF_UNDERGRADUATE_STUDENTS_WITH_DEPRES
SION_SOCIOLOGICAL_IMPLICATIONS/links/64a3b28495bbbe0c6e0eec09/SOCIAL-MEDIA-USE-ON-THE-MENTAL-HEALTH-OF-
UNDERGRADUATE-STUDENTS-WITH-DEPRESSION-SOCIOLOGICAL-IMPLICATIONS.pdf
Okanovic, I., & Agnès, T. (2023). Tiktok: a modern spotlight on emerging artists: Understanding why and how TikTok users take partin viral behaviors
towards musical artists on the platform. https://www.diva-portal.org/smash/get/diva2:1768840/FULLTEXT01.pdf
Pang, H. (2022). Connecting mobile social media with psychosocial well-being: Understanding relationship between WeChat involvement, network
characteristics, online capital and life satisfaction. Social Networks, 68, 256–263. https://doi.org/https://doi.org/10.1016/j.socnet.2021.08.006
Panova, T., & Carbonell, X. (2022). Social Media Addiction BT - Behavioral Addictions: Conceptual, Clinical, Assessment, and Treatment Approaches
(H. M. Pontes (ed.); pp. 69–95). Springer International Publishing. https://doi.org/10.1007/978-3-031-04772-5_3
Pedalino, F., & Camerini, A.-L. (2022). Instagram Use and Body Dissatisfaction: The Mediating Role of Upward Social Comparison with Peers and
Influencers among Young Females. In International Journal of Environmental Research and Public Health (Vol. 19, Issue 3).
https://doi.org/10.3390/ijerph19031543
Pittman, M., & Abell, A. (2021). More Trust in Fewer Followers: Diverging Effects of Popularity Metrics and Green Orientation Social Media Influencers.
Journal of Interactive Marketing, 56(1), 70–82. https://doi.org/10.1016/j.intmar.2021.05.002
Rathje, S., Van Bavel, J. J., & van der Linden, S. (2021). Out-group animosity drives engagement on social media. Proceedings of the National Academy
of Sciences, 118(26). https://doi.org/10.1073/pnas.2024292118
Saiphoo, A. N., & Vahedi, Z. (2019). A meta-analytic review of the relationship between social media use and body image disturbance. Computers in
Human Behavior, 101, 259–275. https://doi.org/https://doi.org/10.1016/j.chb.2019.07.028
Schreiner, M., Fischer, T., & Riedl, R. (2021). Impact of content characteristics and emotion on behavioral engagement in social media: literature review
and research agenda. Electronic Commerce Research, 21(2), 329–345. https://doi.org/10.1007/s10660-019-09353-8
Segev, E. (2023). Sharing Feelings and User Engagement on Twitter: It‘s All About Me and You. Social Media + Society, 9(2), 20563051231183430.
https://doi.org/10.1177/20563051231183430
Shahbaznezhad, H., Dolan, R., & Rashidirad, M. (2021). The Role of Social Media Content Format and Platform in Users‘ Engagement Behavior. Journal
of Interactive Marketing, 53(1), 47–65. https://doi.org/10.1016/j.intmar.2020.05.001
Shawky, S., Kubacki, K., Dietrich, T., & Weaven, S. (2020). A dynamic framework for managing customer engagement on social media. Journal of
Business Research, 121, 567–577. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.03.030
Sherlock, M., & Wagstaff, D. L. (2019). Exploring the relationship between frequency of Instagram use, exposure to idealized images, and psychological
well-being in women. Psychology of Popular Media Culture, 8(4), 482–490. https://doi.org/10.1037/ppm0000182
Tafesse, W., & Wood, B. P. (2023). Social media influencers‘ community and content strategy and follower engagement behavior in the presence of
competition: an Instagram-based investigation. Journal of Product & Brand Management, 32(3), 406–419. https://doi.org/10.1108/JPBM-02-2022-3851
Talwar, S., Dhir, A., Kaur, P., Zafar, N., & Alrasheedy, M. (2019). Why do people share fake news? Associations between the dark side of social media
use and fake news sharing behavior. Journal of Retailing and Consumer Services, 51, 72–82.
https://doi.org/https://doi.org/10.1016/j.jretconser.2019.05.026

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
1863
Tandon, A., Dhir, A., Talwar, S., Kaur, P., & Mäntymäki, M. (2021). Dark consequences of social media-induced fear of missing out (FoMO): Social
media stalking, comparisons, and fatigue. Technological Forecasting and Social Change, 171, 120931.
https://doi.org/https://doi.org/10.1016/j.techfore.2021.120931
Tandon, M. S., Singh, M. N. V., & Tripathi, D. (2022). Like, share and comment: Gen-z and political memes on social media. Specialusis Ugdymas,
1(43), 2973–2998. http://sumc.lt/index.php/se/article/download/342/325
Terren, L., & Borge-Bravo, R. (2021). Echo chambers on social media: A systematic review of the literature. Review of Communication Research, 9, 99–
118. https://rcommunicationr.org/index.php/rcr/article/download/94/90
Thomas, M. F., Binder, A., & Matthes, J. (2023). The psychological influence of dating app matches: The more matches the merrier? New Media &
Society, 14614448231161598. https://doi.org/10.1177/14614448231161598
Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021). The
growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry, 20(3), 318–335.
https://doi.org/10.1002/wps.20883
Triệu, P., Ellison, N. B., Schoenebeck, S. Y., & Brewer, R. N. (2021). Implications of Facebook Engagement Types and Feed‘s Social Content for Self-
Esteem via Social Comparison Processes. Social Media + Society, 7(3), 20563051211042400. https://doi.org/10.1177/20563051211042400
Tunçgenç, B., El Zein, M., Sulik, J., Newson, M., Zhao, Y., Dezecache, G., & Deroy, O. (2021). Social influence matters: We follow pandemic guidelines
most when our close circle does. British Journal of Psychology, 112(3), 763–780. https://doi.org/10.1111/bjop.12491
van der Linden, S. (2022). Misinformation: susceptibility, spread, and interventions to immunize the public. Nature Medicine, 28(3), 460–467.
https://doi.org/10.1038/s41591-022-01713-6
Vannucci, A., & McCauley Ohannessian, C. (2019). Social Media Use Subgroups Differentially Predict Psychosocial Well-Being During Early
Adolescence. Journal of Youth and Adolescence, 48(8), 1469–1493. https://doi.org/10.1007/s10964-019-01060-9
Verduyn, P., Gugushvili, N., Massar, K., Täht, K., & Kross, E. (2020). Social comparison on social networking sites. Current Opinion in Psychology,
36, 32–37. https://doi.org/https://doi.org/10.1016/j.copsyc.2020.04.002
Vinuales, G., & Thomas, V. L. (2021). Not so social: When social media increases perceptions of exclusions and negatively affects attitudes toward
content. Psychology & Marketing, 38(2), 313–327. https://doi.org/10.1002/mar.21339
Vraga, E. K., & Tully, M. (2021). News literacy, social media behaviors, and skepticism toward information on social media. Information, Communication
& Society, 24(2), 150–166. https://doi.org/10.1080/1369118X.2019.1637445
Vrontis, D., Makrides, A., Christofi, M., & Thrassou, A. (2021). Social media influencer marketing: A systematic review, integrative framework and
future research agenda. International Journal of Consumer Studies, 45(4), 617–644. https://doi.org/10.1111/ijcs.12647
Walther, J. B. (2022). Social media and online hate. Current Opinion in Psychology, 45, 101298.
https://doi.org/https://doi.org/10.1016/j.copsyc.2021.12.010
Wegmann, E., & Brand, M. (2019). A narrative Overview About Psychosocial Characteristics as Risk Factors of a Problematic Social Networks Use.
Current Addiction Reports, 6(4), 402–409. https://doi.org/10.1007/s40429-019-00286-8
Wellons, Q. D., Roach, A. T., & Sanchez-Alvarez, S. (2023). Is Social Validity an Afterthought in Single-Case Design Studies in School Psychology
Research? Contemporary School Psychology. https://doi.org/10.1007/s40688-023-00460-w
Wiese, M., & Akareem, H. S. (2020). Determining perceptions, attitudes and behaviour towards social network site advertising in a three-country context.
Journal of Marketing Management, 36(5–6), 420–455. https://doi.org/10.1080/0267257X.2020.1751242
Wilson, C., & Stock, J. (2021). ‗Social media comes with good and bad sides, doesn‘t it?‘ A balancing act of the benefits and risks of social media use
by young adults with long-term conditions. Health, 25(5), 515–534. https://doi.org/10.1177/13634593211023130
Wirtz, D., Tucker, A., Briggs, C., & Schoemann, A. M. (2021). How and Why Social Media Affect Subjective Well-Being: Multi-Site Use and Social
Comparison as Predictors of Change Across Time. Journal of Happiness Studies, 22(4), 1673–1691. https://doi.org/10.1007/s10902-020-00291-z
Yang, C., Sun, Y., Wang, N., & Shen, X. L. (2023). Disentangling the antecedents of rational versus emotional negative electronic word of mouth on a
peer-to-peer accommodation platform. Internet Research, ahead-of-print(ahead-of-print). https://doi.org/10.1108/INTR-02-2022-0120/FULL/XML
Yang, J., Teran, C., Battocchio, A. F., Bertellotti, E., & Wrzesinski, S. (2021). Building Brand Authenticity on Social Media: The Impact of Instagram
Ad Model Genuineness and Trustworthiness on Perceived Brand Authenticity and Consumer Responses. Journal of Interactive Advertising, 21(1), 34–
48. https://doi.org/10.1080/15252019.2020.1860168
Yenilmez Kacar, G. (2023). Instagram as one tool, two stages: self-presentational differences between main feed and story on Instagram. Atlantic Journal
of Communication, 1–16. https://doi.org/10.1080/15456870.2023.2202401

International Journal of Research Publication and Reviews, Vol 4, no 7, pp 3355-3367 July 2023
1864
Yufada, E. M., & Simanjuntak, T. N. (2023). Evolving concept and popularity of influencers: a literature review. Jurnal Komunikasi Profesional, 7(2),
194–215. https://doi.org/10.25139/jkp.v7i2.5527