Hate - Science topic

This study explores the impact of perceived brand betrayal on two types of brand hate and their subsequent effects on consumer behavioral responses. It also investigates how these relationships vary between customers with/without past negative experiences. Data about luxury hotels were obtained using an online survey in Iran. Partial least squares...

This unique workshop and concert invites you on a musico-poetic journey through the rich legacy of Andalusian music, where Hispanic, Jewish, Arab, Berber, and Slavic traditions merged into one of history’s most profound artistic tapestries. Born from the Convivencia of al-Andalus, where mystics, poets, and musicians exchanged melodies across faiths...

Since the first confirmed case of COVID-19 in the United States on January 19 th , 2020, the anti-Asian racist and xenophobic rhetoric began to surge on social media, followed by acts of discrimination and harassment against Asians and Asian Americans. In this study, we identified anti-Asian hate language from 17 million geotagged social media post...

Despite continuous efforts to understand self-critical inner dialogues, little is known about the best practices people use to overcome their self-critics. In this study, we aimed to analyse the self-critical cycles of participants who scored high on coping to understand the most adaptive strategies and responses to the self-critic. The consensual...

Purpose: The study sought to establish barriers of effective political communication and youth behavior during 2022 elections in Kisumu County, Kenya. The existing gap in knowledge was the understanding of how barriers of effective political communication can influence youth behavior during election campaigns. Methodology: The study was conducted u...

Background Childhood maltreatment represents a significant distal risk factor for the social adaptation and development of children and adolescents. However, the impact of childhood maltreatment on individuals’ social mindfulness—an emerging form of “effortless” prosocial behavior—remains largely unexplored. Objective To address the gap in underst...

Vision-language (VL) models have demonstrated strong performance across various tasks. However, these models often rely on a specific modality for predictions, leading to "dominant modality bias.'' This bias significantly hurts performance, especially when one modality is impaired. In this study, we analyze model behavior under dominant modality bi...

Background This study describes the approach and phases of psychotherapeutic interventions in women with breast cancer on the basis of a personality cluster analysis performed using the Structural Analysis of Social Behavior (SASB) Model by Lorna S. Benjamin. Methods The SASB Model is a tool for diagnosing and planning the stages of psychotherapeu...

Mathematics is often perceived as a dull and lifeless subject in many schools, where students show a lack of motivation. This article explores the reasons behind this situation and offers practical solutions to create dynamic and engaging math classes. The first and most important solution introduced in this article is building effective communicat...

This study investigates the online hate narratives around South Asian citizens in Canada. The value of this research is that it challenges the perception of Canadian multiculturalism and by addressing the reality of multiculturalism, it reveals the racial hierarchical structure within ‘equal’ multicultural state like Canada. In this study we connec...

The study of the interaction between polymers and light has significantly bloomed over the past few years in various fundamental research and applications. The relationship between polymers and light can be beneficial (we refer to this as “love”) or be destructive (we refer to this as “hate”). It is important to understand the nature of both these...

Literature, in whatever form it is, elicits textual studies from different approaches. The paper acknowledges this textual significance of literature. It explored transitivity patterns in Franz Kafka’s ‘A Report to an Academy’. The study recognizes no much attention, at least from the linguistic standpoint, has been given to the short story since i...

This paper sketches some of the key dangers presented by the second Trump presidency. We are witnessing a mainstreaming of far-right positions with profound implications both for government and the constitution of society. This moment is marked by censorship and self-censorship of the media, surveillance and punishment of immigrant communities, att...

This research paper aims to describe the dialogue that takes place between two or more parties on an issue, in order to reach a truth that no two people disagree on, if the dialogue is based on proof and argument, so that it eliminates the peer rivalry that often arises from preconceived ideas. The importance of dialogue in human societies lies in...

Together, we have worked tirelessly to expand Reimagine Resilience, a first ever professional training platform for educators and educational staff that addresses the adverse impact of hate, displacement, extremism, and related violence in educational institutions (Sabic-El-Rayess, 2014). For us, building resilience to hate isn’t a project, but a w...

Digital hate has become an inevitable aspect of daily life for social media users, constituting a formidable societal challenge. Despite broad consensus of related harms, researchers have struggled to predict users’ intervening activity and moderation preferences, especially given that they are subject to temporal changes. A two-wave panel survey w...

With the increasing presence of adolescents and children online, it is crucial to evaluate algorithms designed to protect them from physical and mental harm. This study measures the bias introduced by emerging slurs found in youth language on existing BERT-based hate speech detection models. The research establishes a novel framework to identify la...

This paper focuses on the Macedonian name dispute (MND) in Greece as a qualitative instrumental case study. Through participant observations, artifacts and field notes, it researches the reasons behind the success of sustaining and using the MND as a tool in political competition. The study highlights the creation of a name (sign) whose meanings an...

Social media algorithms are thought to amplify variation in user beliefs, thus contributing to radicalization. However, quantitative evidence on how algorithms and user preferences jointly shape harmful online engagement is limited. I conduct an individually randomized experiment with 8 million users of an Indian TikTok-like platform, replacing alg...

In African society, it is believed that the universe is replete with invisible and mystical powers. These powers and forces, it is also believed, could be tapped, controlled and used by individuals who have the knowledge and the ability to do so, whether for their benefit or to harm others. Further, it is believed that some possess this knowledge a...

Can Courts yield to humanitarian considerations when vacating custodial sentences? If so, should such termination be applied to all crimes, including felonies? These questions lie at the centre of a recent judgment delivered on 28th February 2025, where the High Court of Kenya at Vihiga the matter of Reuben Fighalo v The Director of Public Prosecut...

In Germany, both law enforcement agencies (LEAs) and dedicated reporting centers (RCs) engage in various activities to counter illegal online hate speech (HS). Due to the high volume of such content and against the background of limited resources, their personnel can be confronted with the issue of information overload. To mitigate this issue, info...

En la era digital, la proliferación de discursos de odio en las redes sociales amenaza el respeto por las diferencias, objetivo al que toda sociedad democrática aspira. El enfoque tradicional de las prácticas de lectura en la escuela colombiana, enmarcado en procesos psicolingüísticos, resulta insuficiente para capacitar al estudiantado y evitar qu...

Human behavior and personality are shaped by a mix of biology, psychology, and social influences. Emotions like love and hate stem from brain chemicals like oxytocin, linking biology to emotional well-being. This study explores emotions through instincts, entropy, and quantum mechanics, combining insights from biology, psychology, and physics to un...

This article attempts to answer the question regarding the possibility of building peace in an Islamic perspective, which is known for various teachings and practices that are contrary to peace, such as the teaching of waging holy war against the infidels and that Islam is triumphant and no other religion may defeat it. Some writers say it is impos...

This study conducts a focused examination of hate speech in China's digital sphere, investigating four primary types of targeted narratives. Leveraging theoretical constructs from intergroup threat theory and employing critical discourse analysis guided by topic modeling, it posits that such hateful narratives articulate perceived threats against d...

There is logic to Donald J. Trump’s madness. Irrespective of the merits of the US president’s ethics, policies, and style, Mr. Trump’s grenade-throwing shock-and-awe approach has galvanised Arab states into action over Gaza, much like it did with the Europeans regarding their defense and Ukraine policies. “Love him or hate him, Trump has shaken thi...

The ideological underpinnings of the Great Replacement Theory, which frames Muslims as a threat to Europe, originated in Serbia and emboldened a wider narrative of anti-Muslim hate across Western milieus (Dillon, Joshi and Sabic-El-Rayess, 2024; Vieten and Poynting, 2022; Dixit, 2022; Mujanovic, 2021). The othering of Bosnian Muslims (Bosniaks), an...

The #StopAsianHate (SAH) movement is a broad social movement against violence targeting Asians and Asian Americans, beginning in 2021 in response to racial discrimination related to COVID-19 and sparking worldwide conversation about anti-Asian hate. However, research on the online SAH movement has focused on English-speaking participants so the spr...

The rise of social media has significantly increased the prevalence of cyberbullying (CB), posing serious risks to both mental and physical well-being. Effective detection systems are essential for mitigating its impact. While several machine learning (ML) models have been developed, few incorporate victims' psychological, demographic, and behavior...

Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, called over-moderation, and failing to protect online platforms from harmful speech, known as under-moderation. To assess such risks, this paper introduces a framework for au...

With the rise of new social media platforms designed for teenagers and adolescents, the importance of content moderation supported by algorithms is more necessary than ever. State-of-the-art hate speech detection algorithms are increasingly challenged by the rapid and creative evolution of modern language. To better understand the online discourse...

In recent decades, prejudices against Arab/Middle Eastern Muslim individuals have risen alongside surging white supremacist hate speech and violence. Perpetrators often subscribe to white supremacist ideology, which overtly supports hate against Arab/Middle Eastern Muslim individuals and attracts followers worldwide. However, research exploring bia...

Art is often regarded as a reflection of life, with media possessing the capacity to challenge societal norms and influence social and political perspectives as reported by Höijer (Nordicom Review 32(2), 2011). Within American media, Black men are frequently vilified and stereotyped as absent or deadbeat fathers as described by Kumah-Abiwu (Journal...

This study aims to examine the antecedents and consequences of brand hate in shopping malls, using a tripartite model of hate within the Cognitive-Affective-Behavioral (CAB) framework. A mall intercept survey was used to collect responses from Pakistan shoppers. Based on 461 valid responses, the proposed relationship between antecedents and outcome...

From fictional movie posters to photorealistic scaremongering, AI image models are increasingly used to generate hateful material. Moving beyond mere identification or denunciation, this chapter examines the sociotechnical mechanisms that make this phenomenon possible and even pleasurable for its proponents. Put another way, how are ancient prejudi...

This article examines the techno-discursive and argumentative strategies deployed in Internet memes “responding” to various instances of hate speech on social and political issues such as immigration, xenophobia, and homophobia. First, we present the object “meme” to characterize its scriptural and enunciative features and highlight its discursive...

Originating amongst the FIFA video game community, where it is a recognised tactic employed while playing the game, the term, ‘Jew goal’, describes a type of football goal, where, in a two-on-one situation with the goalkeeper, a player passes the ball across the goal instead of taking a direct shot. It implies a level of opportunism or ‘unfairness’...

Melanie Carina Schmoll, PhD, Writes Book on Holocaust education "Hatred of Jews–A Failure of Holocaust education?", Scheduled for February 2025 Publication Germany–Jan. 9, 2025–Melanie Carina Schmoll, PhD, German Historian and Holocaust Education expert who works as research fellow, author, editor, advisor, and speaker, will write “Hatred of Jews–A...

The proliferation of multimodal content on social media presents significant challenges in understanding and moderating complex, context-dependent issues such as misinformation, hate speech, and propaganda. While efforts have been made to develop resources and propose new methods for automatic detection, limited attention has been given to label de...

To gauge the need for Reimagine Resilience, a professional development program that builds resilience to hate and violence, this research was informed by multiple surveys. The first survey (Survey 1), which was administered during a pilot online course, examined whether past anti-bias initiatives were successful in instigating knowledge about Islam...

En este artículo hacemos un repaso a las principales aproximaciones teóricas para visualizar cómo el odio ha sido teorizado desde inicios del siglo XX hasta la actualidad. Nuestro objetivo es explorar las principales teorías y perspectivas sobre el odio, visualizar cómo estos enfoques han sido presentados por diferentes pensadores/as, que han trata...

This paper offers an insight into how maternal ambivalence is experienced. Western culture’s preoccupation with the positive sides to motherhood may lead to a suppression of disallowed feelings thus triggering unbearable maternal ambivalence (Parker, 2010). Psychodynamic theory and training may contribute to this due to its infant-centric focus and...

As artificial intelligence (AI) becomes increasingly integrated into society, concerns about bias, discrimination, and ethical governance have risen. This paper explores the mechanisms through which AI can be taught racism and hate, whether intentionally or inadvertently, and examines the broader social, ethical, and technical implications. It also...

This article examines the potential reasons why anti-racist, sexist and in general bigotry campaigns fail to see success in the world of football, especially the English Premier League. In this paper I explore football's roots, recent attempts at eliminating bigotry, statistics related to hate speech and acts, potential reasons why hatred remains p...

Populism is an ideology that reshapes society into a binary of "pure people" and "corrupt elite," reshaping the relationship between the masses and political elites. This has led to the rise of populist parties, which have challenged democracy. This paper aims to understand the operational dynamics of populism in international politics and explore...

The 21st century is known to the public as the millennium era or the millennial generation. People who fall into this group are those born around the 1980s and 1990s, even up to the 2000s. The dynamics of social change experienced by the millennial dynasty is that it is routinely dominated by technology, especially the internet and smartphones. Mil...

The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehensive industry-standard benchmark for assessing AI-product risk and reliability. Its development employed an open process that included participants from multiple fields....

Advances in Group Therapy Trauma Treatment contains compelling theoretical, clinical, and research advances in group trauma therapy by leading experts in the field. This timely book includes short-term integrated and long-term psychodynamic group therapy models from several theoretical perspectives, with informative clinical illustrations in each c...

The proliferation of hate speech and hate-based harassment has become a worryingly common trend in online gaming spaces, with researchers fearing that it could lead to the normalization of hateful behaviors on such platforms. However, little research has been done assessing the frequency of such events and how players respond to their occurrence. I...

Penélope Cruz is one of the most internationally acclaimed Spanish performers. However, despite her successful career, she is also one of the celebrities subject to most controversy on social media and the most frequent target of hate speech. Although she does not manage her own profile on X (previously Twitter), her name and criticism of her are c...

Violent extremism (VE) is often manifested through hate discourses, which are hurtful for their targets, shatter social cohesion, and provoke feelings of impending threat. In a clinical setting, these discourses may affect clinicians in different ways, eroding their capacity to provide care. This clinical article describes the subjective experience...

Hateful meme detection presents a significant challenge as a multimodal task due to the complexity of interpreting implicit hate messages and contextual cues within memes. Previous approaches have fine-tuned pre-trained vision-language models (PT-VLMs), leveraging the knowledge they gained during pre-training and their attention mechanisms to under...

The spread of false and hateful messages poses one of the greatest challenges in the current communication ecosystem. Although both phenomena have been widely analyzed, few studies have examined their combined effects. Using an experimental study with 404 Spanish citizens, we aim to understand the mechanism through which the credibility of false an...

This essay examines the 2023 Bollywood hit film 'Animal' through the lens of cultural politics, exploring its role in perpetuating Islamophobic narratives within Indian cinema. It critiques the film’s portrayal of Muslim characters, arguing that Bollywood has increasingly adopted tropes that demonize Muslims, aligning with the broader rise of Hindu...

If $X$ is a topological space and $\kappa$ is a cardinal then $\mathsf{BA}_\kappa (X)$ is the statement that for each pair $A, B \subseteq X$ of $\kappa$-dense subsets there is an autohomeomorphism $h:X \to X$ mapping $A$ to $B$. In particular $\mathsf{BA}_{\aleph_1} (\mathbb R)$ is equivalent the celebrated Baumgartner axiom on isomorphism types o...

The paper is a review of a book written by Emeka Odumegwu Ojukwu titled Because I am Involved. In my review I considered Ojukwu's book as an epistle on nation building. I The paper highlight the two indisputable personality of Ojukwu: one that sees him as a warlord and another as a good leader. In his book Ojukwu expressed his worries over the tide...

From the Ku Klux Klan to neo-Nazism, women have been on the front lines extending the reach of white supremacist violence for centuries. While prior research has addressed women’s roles in white supremacist groups (e.g., Blee, 2002, 2005, 2018), few studies have investigated the phenomenological experiences of women exiting such groups (see Latif e...

This paper makes three contributions. First, via a substantial corpus of 1,419,047 comments posted on 3,161 YouTube news videos of major US cable news outlets, we analyze how users engage with LGBTQ+ news content. Our analyses focus both on positive and negative content. In particular, we construct a fine-grained hope speech classifier that detects...

Hate speech is a severe problem affecting online social communities' functionality and dynamics. The importance of developing machine-learning techniques for hate speech identification has risen. Moreover, the literature reported that supervised learning performs better in detecting and classifying hateful content. This study compares the performan...

Background/Objectives: The primary factors influencing victimisation in bullying have recently become a topic of debate in the psychological literature. This research sought to explore the association between self-criticism (as captured in terms of inadequate self, hated self, and reassured self) and bullying victimisation, also addressing the mode...

Warning: This paper contains some abusive text that might sometimes be found offensive. Identifying and mitigating hateful, abusive, offensive comments on social media is a crucial, paramount task. It’s challenging to entirely prevent such hateful content and impose rigorous censorship on social platforms while safeguarding free speech. Recent stud...

The last 4 years have seen a stark increase in research on extremist activities in digital gaming spaces, particularly on gaming- and gaming-adjacent platforms. However, one area that has not received much attention so far are mod forums. While a large number of mods with hateful content have been created over the last two decades, the forums used...

Life is a book with many pages. But many children are told, by everything they see around them, that they aren’t a vital part of the world’s story. Some are victims of racism and hate. Others are refugees, seen as aliens in their new homes. Many suffer from economic deprivation. Whatever makes a child seem like an outsider, whether it is their sexu...

Numerous studies have reported an increase in hate speech on X (formerly Twitter) in the months immediately following Elon Musk’s acquisition of the platform on October 27th, 2022; relatedly, despite Musk’s pledge to “defeat the spam bots,” a recent study reported no substantial change in the concentration of inauthentic accounts. However, it is no...

In an increasingly digital world, gaming and gaming-adjacent platforms have emerged as vital social spaces, attracting more than 3 billion active users globally. These platforms, which range from immersive video games to forums and livestreaming sites, offer unique opportunities to build communities, foster creativity and promote education. However...

Social media platforms enable the propagation of hateful content across different modalities such as textual, auditory, and visual, necessitating effective detection methods. While recent approaches have shown promise in handling individual modalities, their effectiveness across different modality combinations remains unexplored. This paper present...

In his Symphony n. 94 (1792), Haydn has a movement entitled “mit einem Paukenschlag,” which surprises the audience with a fortissimo timpani strike. This symphony, thus nicknamed “Die Überraschung,” offers a nice artistic example of fulguration against the background of imminence. Works of art offer a snapshot that unites beauty and novelty and evo...

In this paper, we introduce ExMute, an extended dataset for classifying hateful memes that incorporates critical contextual information , addressing a significant gap in existing resources. Building on a previous dataset of 4,158 memes without contextual annotations, ExMute expands the collection by adding 2,041 new memes and providing comprehensiv...

Calling someone fat is not only cruel and unkind—it also subordinates them. While the sharpest and most immediate harms of fatphobic bullying are emotional and psychological, these vary according to the resilience of the target. What one person can laugh off, another feels deeply, perhaps for years. But ‘fat-calling’ does not only have individual h...

The growth of social networks makes toxic content spread rapidly. Hate speech detection is a task to help decrease the number of harmful comments. With the diversity in the hate speech created by users, it is necessary to interpret the hate speech besides detecting it. Hence, we propose a methodology to construct a system for targeted hate speech d...

Though the issue of hate speech is not a new phenomenonto Ethiopia,its visibility hasincreased due to its propagation specificallythrough social mediainducing political and social instability among the youth and beyond. There had been notheoretical /empirical studies examining the predictors that propagate Hate Speech on Facebook among University y...

This study examines the effect of ideological incompatibility (IDEO) on negative word-of-mouth (NWOM) through perceived betrayal and brand hate for service brands in a developing country context. This paper also investigates the moderating roles of negative experience and narcissism. The research model was examined using survey data from 397 teleco...

This article analyses how the Chinese Communist Party (CCP) created and spread new forms of subjectivity and social belonging in the formative years of the People’s Republic of China (PRC) (1949–present). Specifically, it examines how the CCP blended medical and emotional discourses to foster communal hatred of narcotics users and promote social co...

The present research adopts a mixed-methods approach to examine the boundaries between two anger variants: an anger perceived as moral, appropriate, and justified; and an anger considered wrong and unjustified. In Study 1, we analyze participants’ narratives about their past experiences of justified and unjustified anger using qualitative thematic...

While pretraining language models with politically diverse content has been shown to improve downstream task fairness, such approaches require significant computational resources often inaccessible to many researchers and organizations. Recent work has established that persona-based prompting can introduce political diversity in model outputs witho...

New novel: The Immigrant Queen: Hated as a foreigner despised as a woman, she became First Lady of Athens. The true story of Aspasia. Trafficked to Athens she became the lover of Pericles, a close friend of Socrates, the author of philosophical dialogues and political speeches and was celebrated throughout Attica for her wit and beauty. Then histo...

Anthropomorphism is giving human qualities and characteristics to non-humans, whether they are animals or plants, as in children’s stories. Because animals play an essential role in literature, this study examines the social and political aspects of anthropomorphism in The Jungle Book. Using animals in their real environment to represent stories di...

This research evaluates the tensile and impact strength of Solution Heat Treated (SHT) Al6061/2%Gr/0-6%Al₂O₃ composites for piston applications. The associated mechanical loads on the piston crown may have severe consequences of lowered tensile strength and toughness value, which had led to overheating, leakage of oil with smoking exhaust; high fue...

In recent years, the socio-political climate in India has become increasingly polarized, with cultural and religious divides becoming more pronounced. While India's rich cultural diversity is celebrated globally, there exists a troubling trend of marginalization and dehumanization of its Muslim minority, particularly through the lens of cultural su...

This research deeply studies ‘Identity Crisis’ in “Pakistani Story” and “Stone Chat” by shedding light on the complexities of identity formation in the context of post- partition Pakistan. By applying the concepts of Homi K. Bhabha; hybridity and third space and Gayatri Chakravorty Spivak’s concepts of subaltern and otherness, this study examines t...

Counter-speech is considered a promising tool to address hate speech online, notably, by promoting bystander reactions that could attenuate the prevalence or further dissemination of hate. However, it remains unclear which types of counter-speech are most effective in attaining these goals and which might backfire. Advancing the literature, we exam...

This study qualitatively explored the perceptions of black South African millennials about the effects of Black Twitter (X) on their mental health. In-depth semi-structured interviews were conducted with black South African millennials who actively interact on Black Twitter (X). The data was analysed using thematic analysis. Participants had positi...

Este artículo tiene como objetivo analizar el posible discurso de odio utilizado por los partidos políticos (PSOE, PP, Vox, Unidas Podemos y Ciudadanos) en TikTok durante la campaña para las elecciones del 28 de mayo de 2023 y definir características comunes de dicho contenido, introduciendo el término "criptodiscurso de odio". Se ha aplicado un an...

Large Language Models (LLMs) have raised increasing concerns about their misuse in generating hate speech. Among all the efforts to address this issue, hate speech detectors play a crucial role. However, the effectiveness of different detectors against LLM-generated hate speech remains largely unknown. In this paper, we propose HateBench, a framewo...

The online communities of involuntary celibates, or incels, have garnered increased attention for their extreme misogyny and links to violent attacks against women. However, little is known about how (pseudo‐)psychological theories are used among the incel community to construct their identities and justify a worldview that centres on hatred agains...

In this study the role of metonymy in relation to social identity is investigated in naturally occurring internet discourse of social groups. Two Reddit subreddits banned for promoting hate based on identity are compared with two unbanned subreddits that predominantly relate to the same gender-focused concerns. It is found that metonymies to refere...

The research is aimed at analyzing the phenomenon of hatred that takes place while running profiles on social media by influencers. The study describes the phenomenon of hate used by influencers to build trust among the offenders. The study adopted a literature review to identify research to date. The authors also synthesized the existing literatur...

Opaque algorithms disseminate and mediate the content that users consume on online social media platforms. This algorithmic mediation serves users with contents of their liking, on the other hand, it may cause several inadvertent risks to society at scale. While some of these risks, e.g., filter bubbles or dissemination of hateful content, are well...

The hate speech detection task is known to suffer from bias against African American English (AAE) dialect text, due to the annotation bias present in the underlying hate speech datasets used to train these models. This leads to a disparity where normal AAE text is more likely to be misclassified as abusive/hateful compared to non-AAE text. Simple...

The proliferation of hate speech has caused significant harm to society. The intensity and directionality of hate are closely tied to the target and argument it is associated with. However, research on hate speech detection in Chinese has lagged behind, and existing datasets lack span-level fine-grained annotations. Furthermore, the lack of researc...

Detecting hate speech in online content is essential to ensuring safer digital spaces. While significant progress has been made in text and meme modalities, video-based hate speech detection remains under-explored, hindered by a lack of annotated datasets and the high cost of video annotation. This gap is particularly problematic given the growing...

Markus Kaakinen väitöskirja “Disconnected online: A social psychological examination of online hate” tarkastettiin Tampereen yliopistossa 20.6.2018. Vastaväittäjänä toimi apulaisprofessori Izabela Zych (Cordoban yliopisto, Espanja) ja kustoksena professori Atte Oksanen Tampereen yliopistosta.

Sentiment analysis, or opinion mining, is an important task of natural language processing (NLP) that extracts opinions, attitudes, and emotions from text. With the growth of digital platforms like blogs and social networks, opinion mining has become a key tool for organizations to understand public sentiment. In recent research, machine learning a...

Background Bullying, encompassing physical, psychological, social, or educational harm, affects approximately 1 in 20 United States teens aged 12-18. The prevalence and impact of bullying, including online bullying, necessitate a deeper understanding of risk and protective factors to enhance prevention efforts. This study investigated the key risk...

Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence. In this article, we use quantitative...

Self-criticism, or negative self-evaluation characterized by often unrealistic personal standards and a harsh self-view, is a relevant transdiagnostic construct for mental health. Yet, the psychometric properties of scales assessing self-criticism have not been examined in military veterans, a population with a high burden of psychiatric symptoms....

This article tries to trace and explain the relation between the political movement and the hadith movement in the first three centuries of Islam, particularly in Shi’a and Nas}b sects. This research uses historical and geo-political approaches in analyzing the transmission of hadith conducted by these two sects. This articleshows that the transmit...