Article

Black Lives Matter Coverage: How Protest News Frames and Attitudinal Change Affect Social Media Engagement

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Abstract

This article investigates the relationship between digital news coverage of protests and the audience’s willingness to engage with a story about Black Lives Matter on social media. Using a 3x2 experiment, we evaluate if news frames from the protest paradigm literature (riot, confrontation, and legitimizing) and the presence of an accompanying visual would make people more likely to read, like, share and comment on a news story about a street demonstration on social media. We also tested if news portrayal of protests might influence people’s level of support for the movement, which in turn could lead to different types of social media engagement outcomes. Results show that only the presence of visuals has a direct impact on willingness to share a story, with frames having a limited influence on behaviour if compared to other pre-existing attitudes about the police and protesters. However, we also found that the relationship between frames and social media engagement is mediated by a change in these attitudes and increased support for the movement. These findings suggest that engagement outcomes with digital news coverage are contingent on people’s support for the movement portrayed, although legitimizing coverage can influence those attitudes and shape social media behaviour in return.

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... We analyze the news coverage of this specific social movement for two reasons. First, the BLM movement gained a considerable amount of media attention that "delegitimized and racialized the movement by accentuating conflict and violence" [22], which aligns with an established line of research that stresses that media coverage often focuses on violent and disruptive aspects of a movement's protest rather than its goals and social criticism [22][23][24][25]. Since public opinion and support of a social movement depend highly on how that movement is portrayed in news reporting [26][27][28], especially when violence is involved [23], it is particularly interesting to analyze the news portrayal of the BLM movement, as both protestors and police have committed acts of violence [29]. ...
... We analyze the news coverage of this specific social movement for two reasons. First, the BLM movement gained a considerable amount of media attention that "delegitimized and racialized the movement by accentuating conflict and violence" [22], which aligns with an established line of research that stresses that media coverage often focuses on violent and disruptive aspects of a movement's protest rather than its goals and social criticism [22][23][24][25]. Since public opinion and support of a social movement depend highly on how that movement is portrayed in news reporting [26][27][28], especially when violence is involved [23], it is particularly interesting to analyze the news portrayal of the BLM movement, as both protestors and police have committed acts of violence [29]. ...
... Reporting about violence is a specific type of negative news coverage [48]. Social movements, in particular, have been subjected to this type of negative news coverage [e.g., 49,50] "emphasizing violence and deviant behaviour" [22], which tends to increase the audience size as it "contributes to the media spectacle . . . around protest events" [16]. ...
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Portrayals of violence are common in contemporary media reporting; they attract public attention and influence the reader's opinion. In the particular context of a social movement such as Black Lives Matter (BLM), the portrayal of violence in news coverage attracts public attention and can affect the movement's development, support, and public perception. Research on the relationship between digital news content featuring violence and user attention on social media has been scarce. This paper analyzes the relationship between violence in online reporting on BLM and its effect on user attention on the social media platform Reddit. The analysis focuses on the portrayal of violence in images used in BLM-related digital news coverage shared on Reddit. The dataset is comprised of 5,873 news articles with images. The classification of violent images is based on a VGG19 convolutional neural network (CNN) trained on a comprehensive dataset. The results suggest that what significantly affects user attention in digital news content is not the display of violence in images; rather, it is negative article titles, the news outlet's political leanings and level of factual reporting, and platform affordances that significantly affect user attention. Thus, this paper adds to the understanding of user attention distributions online and paves the way for future research in this field.
... Social media's propensity to encourage highly emotional communication can result in "emotional contagion" (Ferrara and Yang, 2015). The emotional attachment in social media communications can disrupt narratives that have so far been dominant and affect consumer attitudes and behavior, whereby a tipping point might be reached that necessitates organizational change (Baker and Rowe, 2013;Lim et al., 2015;Mourão and Brown, 2022). Of course, the emotional attachment can also be harnessed for change by political entrepreneurs (Duncombe, 2019). ...
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... Among many others, the hashtag #BlackLi-veMatter. [1], was used twelve million times and originated from the protests over the murder by a Minneapolis policeman of George Floyd, a man of African descent. The hashtag transformed dispersed initiatives into an organized movement through the social network. ...
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We disclose a methodology to determine the participants in discussions and their contributions in social networks with a local relationship (e.g., nationality), providing certain levels of trust and efficiency in the process. The dynamic is a challenge that has demanded studies and some approximations to recent solutions. The study addressed the problem of identifying the nationality of users in the Twitter social network before an opinion request (of a political nature and social participation). The employed methodology classifies, via machine learning, the Twitter users' nationality to carry out opinion studies in three Central American countries. The Random Forests algorithm is used to generate classification models with small training samples, using exclusively numerical characteristics based on the number of times that different interactions among users occur. When averaging the proportions achieved by inferences of the ratio of nationals of each country, in the initial data, an average of 77.40% was calculated, compared to 91.60% averaged after applying the automatic classification model, an average increase of 14.20%. In conclusion, it can be seen that the suggested set of method provides a reasonable approach and efficiency in the face of opinion problems.
... ~ 2 h and 27 min average daily; DataReportal, 2021;Heffer et al., 2019;Zhong, Huang & Liu, 2020;Nguyen, 2021). Furthermore, social media is increasingly involved in various domains of life including education, economics and even politics, to the point where engagement with the economy and wider society almost necessitates its use, driving the continued proliferation of social media use (Calderaro, 2018;Nguyen, 2021;Mabić et al., 2020;Mourão & Kilgo, 2021). This societal shift towards increased social media use has had some positive benefits, serving to facilitate the creation and maintenance of social groups, increase access to opportunities for career advancement and created wide ranging and accessible education options for many users (Calderaro, 2018;Prinstein et al., 2020;Bouchillon, 2020;Nguyen, 2021). ...
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Introduction: Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of 'Social Media Addiction' [SMA], as a condition requiring clarifications regarding its definition, assessment and associations with other addictions. Thus, this study aimed to: (a) advance knowledge on the typology/structure of SMA symptoms experienced and: (b) explore the association of these typologies with addictive behaviours related to gaming, gambling, alcohol, smoking, drug abuse, sex (including porn), shopping, internet use, and exercise. Methods: A sample of 968 [Mage = 29.5, SDage = 9.36, nmales = 622 (64.3 %), nfemales = 315, (32.5 %)] adults was surveyed regarding their SMA experiences, using the Bergen Social Media Addiction Scale (BSMAS). Their experiences of Gaming, Internet, Gambling, Alcohol, Cigarette, Drug, Sex, Shopping and Exercise addictions were additionally assessed, and latent profile analysis (LPA) was implemented. Results: Three distinct profiles were revealed, based on the severity of one's SMA symptoms: 'low', 'moderate' and 'high' risk. Subsequent ANOVA analyses suggested that participants classified as 'high' risk indicated significantly higher behaviours related to internet, gambling, gaming, sex and in particular shopping addictions. Conclusions: Results support SMA as a unitary construct, while they potentially challenge the distinction between technological and behavioural addictions. Findings also imply that the assessment of those presenting with SMA behaviours, as well as prevention and intervention targeting SMA at risk groups, should consider other comorbid addictions.
... Among many others, the hashtag #BlackLiveMatter. [1], was used twelve million times and originated from the protests over the murder by a Minneapolis policeman of George Floyd, a man of African descent. The hashtag transformed dispersed initiatives into an organized movement through the social network. ...
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We disclose a methodology to determine the participants in discussions and their contributions in social networks with a local relationship (e.g., nationality), providing certain levels of trust and efficiency in the process. The dynamic is a challenge that has demanded studies and some approximations to recent solutions. The study addressed the problem of identifying the nationality of users in the Twitter social network before an opinion request (of a political nature and social participation). The employed methodology classifies, via machine learning, the Twitter users' nationality to carry out opinion studies in three Central American countries. The Random Forests algorithm is used to generate classification models with small training samples, using exclusively numerical characteristics based on the number of times that different interactions among users occur. When averaging the proportions achieved by inferences of the ratio of nationals of each country, in the initial data, an average of 77.40% was calculated, compared to 91.60% averaged after applying the automatic classification model, an average increase of 14.20%. In conclusion, it can be seen that the suggested set of method provides a reasonable approach and efficiency in the face of opinion problems.
... Studying the topic of climate change thus provides an excellent opportunity to examine not only how GPT-3 responds to this group compared to the opinion majority, but also whether there might be social learning and attitudinal changes after the chat. The second topic represents a heated social issue, which has raised continuous attention from the media and public in the recent decade (58). ...
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Autoregressive language models, which use deep learning to produce human-like texts, have become increasingly widespread. Such models are powering popular virtual assistants in areas like smart health, finance, and autonomous driving. While the parameters of these large language models are improving, concerns persist that these models might not work equally for all subgroups in society. Despite growing discussions of AI fairness across disciplines, there lacks systemic metrics to assess what equity means in dialogue systems and how to engage different populations in the assessment loop. Grounded in theories of deliberative democracy and science and technology studies, this paper proposes an analytical framework for unpacking the meaning of equity in human-AI dialogues. Using this framework, we conducted an auditing study to examine how GPT-3 responded to different sub-populations on crucial science and social topics: climate change and the Black Lives Matter (BLM) movement. Our corpus consists of over 20,000 rounds of dialogues between GPT-3 and 3290 individuals who vary in gender, race and ethnicity, education level, English as a first language, and opinions toward the issues. We found a substantively worse user experience with GPT-3 among the opinion and the education minority subpopulations; however, these two groups achieved the largest knowledge gain, changing attitudes toward supporting BLM and climate change efforts after the chat. We traced these user experience divides to conversational differences and found that GPT-3 used more negative expressions when it responded to the education and opinion minority groups, compared to its responses to the majority groups. We discuss the implications of our findings for a deliberative conversational AI system that centralizes diversity, equity, and inclusion.
... Studies in media studies argue that social media platforms have been able to influence the behaviour traits of protests among people and that these protests can cause social and political changes (Valenzuela et al. 2012;Bekmagambetov et al. 2018; Mourão and Brown, 2022). A study conducted by Sinpeng (2021) on social media hashtag (#) activism in Thailand by youths was focused on the displeasure of youths with the Thai government and their demand for working democracy. ...
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The 2020 #EndSARS protests in Nigeria gained global attention. The protests drawn thousands of youths to the streets in a wave of rolling fury that built into one of the largest demonstrations for years in the country. Unlike previous protests in the country, the 2020 year's protests played out across social networks in a buildup of videos, images, and stories on Twitter Facebook, and other platforms displaying pictures and footage from the streets. This study employed the Social Network Theory in identifying the influence of social media as a strategy for protest movements and for the diffusion of information about #EndSARS and the sustenance of this movement over a long period, despite forces that have tried to silence it. This study argued that the sustenance of protests such as #EndSARS over a long period was dependent on factors such as: (i) that some individuals were more resistant to being influenced than others; (ii) that some individuals tended to be more responsive than others; and (iii) that some individuals seemed to be more affected than others (and were, therefore, more likely to pass the information on to others). The findings revealed that protesters used emotional dynamics, collective identities, symbolic artifacts, and mutual values to sustain protests if their demands were not met on time.
... Studies concerning racism in American journalism have been done to see the issue differently. Mourão & Kilgo (2021) conducted a study entitled "Black Lives Matter Coverage: How Protest News Frames and Attitudinal Change Affect Social Media Engagement". It results in a fresh perspective of news coverage affecting social media engagement during the BLM protest. ...
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The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspects of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions’ negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters’ resistance. It is because protesters lack a solid and consistent perception of the issue. The rejection of news institutions and journalists is no longer immediate attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.The Black Lives Matter movement in 2020 has emerged through the help of social media and citizen journalism in spreading the news, responding to the incident, and mobilizing the protest against police brutality and racial discrimination against African Americans. Citizen journalism has become an alternative for Twitter users who distrust American journalism from mainstream news media. This study examined tweets of citizen journalism to see the discourse of American journalism on Twitter. Using Van Dijk’s Critical Discourse Analysis (CDA), this study finds positive and negative aspectse of citizen journalism. The first is that citizen journalism is an online resistance tool of protesters against news institutions where they can voice their opinions and deny news institutions' negative portrayal. The second, citizen journalism, is a tool for news institutions in responding to the protesters' resistance. This is because protesters lack a solid and consistent perception of the issue, and the rejection of news institutions and journalists is no longer primary attention for them as soon as police officers attack news crews.
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Chapter
This chapter concludes the book by reflecting on the concept of engagement.
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News coverage is fundamental to a protest’s viability, but research suggests media negatively portray protests and protesters that challenge the status quo (a pattern known as the protest paradigm). This study questions the validity of those claims within the context of digital newspaper coverage, interrogating how topic and region shape coverage. Using a content analysis of coverage from sixteen newspapers in various U.S. market types and regions, this research examines framing and sourcing features in articles about protests. Results suggest media coverage of protests centered on racial issues (discrimination of Indigenous people and anti-Black racism) follows more of a delegitimizing pattern than stories about protests related to immigrants’ rights, health, and environment. A model to understand news coverage of protest based on a hierarchy of social struggle is proposed.
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By adopting the uses and gratifications approach to understand two evolutionary needs—the environmental surveillance need and social involvement need—this study investigated the use of alarm and prosocial words in news headlines and the associated generic digital footprints. We analyzed over 170,000 online news headlines and the number of associated clicks and “likes” for each news story on an online news platform. Our results support the idea of a human alarm system for sensational news as a psychological survival mechanism designed to detect and pay attention to threatening news such as catastrophes and diseases. News headlines with alarm words indirectly attracted more “likes,” indicating a concern with survival, through an increased number of clicks to select that news item. Furthermore, the results of a conditional indirect effect model showed that while online readers selectively clicked on news headlines with alarm words, the presence of a prosocial word in the headline increased the likelihood that readers would “like” it.
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In 2013, small demonstrations against bus fares evolved into a series of large protests expressing generalized dissatisfaction with leftist President Dilma Rousseff in Brazil. Communication research has long examined the “protest paradigm,” a pattern of news coverage delegitimizing social movements. The Brazilian context provided a chance to assess the extent to which the paradigm holds when protests take on a conservative elite-supported narrative contesting the government. Through a quantitatively-driven mixed methods approach combining content analysis and interviews with mainstream journalists, results revealed that when grievances evolved into coherent anti-government demands, official sources from opposition parties served to legitimize the movement. As such, this study departs from an understanding of protest coverage as paradigmatic towards a complex view of the relationship between protestors and the press. Findings show that when elite opposition groups support protests, journalistic norms and routines validate demonstrations.
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This study compares U.S. digital news coverage of recent foreign and domestic protests. Differences in coverage’s framing, sourcing, and device emphases were analyzed for two cases: protests that erupted after the death of Michael Brown and protests demanding justice for the 43 missing students from Ayotzinapa, Mexico. Building on protest paradigm literature, content analysis results show news articles that appeared on Facebook and Twitter emphasized legitimizing frames for foreign protests more than domestic protests. Foreign protests were framed with the spectacle frame more than domestic protests which were more often portrayed as confrontational. Digitally native news organizations produced content that deviated from expected paradigmatic norms the most. In addition, this research examines the relationship between content and sharing on Facebook and Twitter. Implications of these findings within the theoretical framework of the protest paradigm are discussed.
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Against conventional wisdom, pervasive black-white disparities pair with vitriolic public conversation in politically progressive communities throughout America. Networked News, Racial Divides examines obstacles to public dialogues about racial inequality and opportunities for better discourse in mid-sized, liberal cities. The book narrates the challenges faced when talking about race through a series of stories about each community struggling with K-12 education achievement gaps. Media expert Sue Robinson applies Bourdieusian field theory to understand media ecologies and analyze whose voices get heard and whose get left out. She explores how privilege shapes discourse and how identity politics can interfere with deliberation. Drawing on network analysis of community dialogues, interviews with journalists, politicians, activists, and citizens and deep case study of five cities, this reflexive and occasionally narrative book chronicles the institutional, cultural and other problematic realities to amplifying voices of all people while also recommending strategies to move forward and build trust.
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Purpose The purpose of this paper is to examine coverage of the Black Lives Matter (BLM) movement in seven US-based newspapers to determine whether the protest paradigm, “a pattern of news coverage that expresses disapproval toward protests and dissent,” and other marginalizing techniques are present, and racialized. Design/methodology/approach Relevant articles published during a six-month period of 2014 near the death of Michael Brown were retrieved from the selected outlets, including the New York Times, the Los Angeles Times, and the St Louis Post-Dispatch. Textual and content analyses were performed. Findings The articles heavily followed the paradigm. An additional characteristic, blame attribution, was also identified. Language of crime, lawlessness, violence, blame for nearby acts of violence, and inflammatory quotes from bystanders and official sources were often present. There was little discussion of key issues associated with the formation of BLM. Research limitations/implications Mainstream outlets rather than social media or alternative outlets were examined. Future research should study coverage of BLM in other outlets. Practical implications Measures to avoid marginalizing protests and racialization of coverage, including increased diversity in the newsroom and monitoring for racialized language are suggested. Social implications Racialization of news and coverage of BLM has widespread negative consequences, such as association of Blacks with criminality that may affect their quality of life. The protest paradigm has the ability to squelch participation in social movements, which have the possibility to bring about needed social change. Originality/value This interdisciplinary paper highlights the important role of mainstream media and news routines in affecting the BLM movement. It uses diversity research to make recommendations for media practitioners to avoid racialization of news.
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The 2014 amyotrophic lateral sclerosis Ice Bucket Challenge (IBC) received unprecedented attention by both news media and social media audiences. Using content analysis, this research examines how digital news utilized different news values and emotional appeals to cover the IBC. In addition, this work includes a secondary analysis that examines what coverage characteristics influenced social media audiences to share content on Facebook and Twitter. Results reveal that while celebrity participation and human interest stories were more likely to be covered, news values played a limited role in predicting audience sharing practices. Articles that use emotions in a story are more likely to entice sharing on Facebook than on Twitter.
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In 2014 protests erupted around the world after 43 college students from Ayotzinapa, Mexico, were kidnapped and massacred. This bilingual, cross-national content analysis explores the relationship between multimedia features in stories about the Ayotzinapa protests and how social media users liked, shared, and commented on that coverage. This study furthers our understanding of the protest paradigm in a digital context, and sheds light on differences in mainstream, alternative, and online media outlets' coverage of protesters. Additionally, this study suggests social media users might prefer more legitimizing coverage of protesters than mainstream media typically offer.
Article
In 2014, a dedicated activist movement — Black Lives Matter (BLM) — ignited an urgent national conversation about police killings of unarmed Black citizens. Online tools have been anecdotally credited as critical in this effort, but researchers are only beginning to evaluate this claim. This research report examines the movement’s uses of online media in 2014 and 2015. To do so, we analyze three types of data: 40.8 million tweets, over 100,000 web links, and 40 interviews of BLM activists and allies. Most of the report is devoted to detailing our findings, which include: *Although the #Blacklivesmatter hashtag was created in July 2013, it was rarely used through the summer of 2014 and did not come to signify a movement until the months after the Ferguson protests. *Social media posts by activists were essential in spreading Michael Brown’s story nationally. * Protesters and their supporters were generally able to circulate their own narratives on Twitter without relying on mainstream news outlets. * There are six major communities that consistently discussed police brutality on Twitter in 2014 and 2015: Black Lives Matter, Anonymous/Bipartisan Report, Black Entertainers, Conservatives, Mainstream News, and Young Black Twitter. * The vast majority of the communities we observed supported justice for the victims and decisively denounced police brutality. * Black youth discussed police brutality frequently on Twitter, but in ways that differed substantially from how activists discussed it. * Evidence that activists succeeded in educating casual observers on Twitter came in two main forms: expressions of awe and disbelief at the violent police reactions to the Ferguson protests, and conservative admissions of police brutality in the Eric Garner and Walter Scott cases. * The primary goals of social media use among our interviewees were education, amplification of marginalized voices, and structural police reform. In our concluding section, we reflect on the practical importance and implications of our findings. We hope this report contributes to the specific conversation about how Black Lives Matter and related movements have used online tools as well as to broader conversations about the general capacity of such tools to facilitate social and political change.
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People engage in communication on Facebook via three behaviors—like, comment, and share. Facebook uses an algorithm that gives different weight to each behavior to determine what to show in user’s screen, suggesting that the strategic implication of each behavior may differ from the other. This study investigates when each behavior can be encouraged by organizational messages, thereby making clearer distinctions between three behaviors. A content analysis of organizational messages was conducted, where the researchers assessed message features and related them to each behavior separately. The findings indicated that different message features generated different behaviors: Sensory and visual features led to like, rational and interactive to comment, and sensory, visual, and rational to share. This suggests that like is an affectively driven, comment is a cognitively triggered behavior, and share is either affective or cognitive or a combination of both.
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Audiences play a fundamental role in disseminating and evaluating news content, and one of the big questions facing news organizations is what elements make content viral in the digital environment. This comparative study of the United States, Brazil and Argentina explores what values and topics present in news shared online predict audience interaction on social media. Findings shed light on what news values and topics trigger more audience responses on Facebook and Twitter. At the same time, a comparison between popular content produced by traditional media versus online-native media reveals that the former lean more toward government-related news and con-flict/controversy news values than online native media. Brazilian stories prompted more social media interactivity than content from the United States or Argentina. Through content analysis, this study contributes to improving our understanding of audiences' news values preferences on social networks. It also helps us to recognize the role of users' online activities (sharing, commenting and liking) in the social construction of news and meaning inside the networked sphere. Finally, it opens an old media debate about whether providing and sharing too much media content with conflict, controversy and oddity could potentially hinder understanding and agreement in society. Articles were collected via media tracking and the data collection company NewsWhip.
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The rise of social media has transformed the way the public engages with science organisations and scientists. ‘Retweet’, ‘Like’, ‘Share’ and ‘Comment’ are a few ways users engage with messages on Twitter and Facebook, two of the most popular social media platforms. Despite the availability of big data from these digital footprints, research into social media science communication is scant. This paper presents a novel empirical study into the features of engaging science-related social media messages, focusing on space science communications. It is hypothesised that these messages contain certain psycholinguistic features that are unique to the field of space science. We built a predictive model to forecast the engagement levels of social media posts. By using four feature sets (n-grams, psycholinguistics, grammar and social media), we were able to achieve prediction accuracies in the vicinity of 90% using three supervised learning algorithms (Naive Bayes, linear classifier and decision tree). We conducted the same experiments on social media messages from three other fields (politics, business and non-profit) and discovered several features that are exclusive to space science communications: anger, authenticity, hashtags, visual descriptions—be it visual perception-related words, or media elements—and a tentative tone.
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Whereas much has been written about the role of resources and motivation for activating adolescents to become engaged citizens, less work considers the role that recruitment within schools might play in shaping youth civic engagement patterns. Drawing on interviews with over 100 high school students and over 40 school officials, our research illuminates the critical role that school-based recruitment plays in fostering youth civic engagement. We find that while a majority of the students we interviewed are actively involved in their local community, a sizable portion of students remain unengaged and that a lack of recruitment from school officials is one important factor explaining this phenomenon. We also find that teachers, especially social studies teachers, can play a key role in recruiting and motivating students. However, teachers tend to act as “rational prospectors” who selectively recruit certain subsets of students (i.e., advanced students)—something that likely contributes to later inequality in participation.
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People increasingly visit online news sites not directly, but by following links on social network sites. Drawing on news value theory and integrating theories about online identities and self-representation, we develop a concept of shareworthiness, with which we seek to understand how the number of shares an article receives on such sites can be predicted. Findings suggest that traditional criteria of newsworthiness indeed play a role in predicting the number of shares, and that further development of a theory of shareworthiness based on the foundations of newsworthiness can offer fruitful insights in news dissemination processes.
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This article seeks to explain variation in news sharing patterns on social media. It finds that news editors have considerable power to shape the social media agenda through the use of “story importance cues” but also shows that there are some areas of news reporting (such as those related to crime and disasters) where this power does not apply. This highlights the existence of a social “news gap” where social media filters out certain types of news, producing a social media news agenda which has important differences from its traditional counterpart. The discussion suggests that this may be consequential for perceptions of crime and engagement with politics; it might even stimulate a partial reversal of the tabloidization of news outlets.
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The growth of new media is changing how news organizations publish their work, and the explosion of social networks is changing the way news consumers of all ages share information. As news outlets face an uncertain future and try to reach younger, newer audiences, the rapid growth of mobile devices means new opportunities to create, share, and consume news content. This study examines how young news consumers share and consume news content, specifically whether they are more likely to get news through social networks (Facebook and Twitter) or directly through news sources (news stations, newspapers, websites, and mobile apps). The findings here indicate that students may hear of news through social media, but rely on other internet sources to confirm it. Local news does not seem to carry as much weight with them, but they can be persuaded to pay attention to their college towns, if only for community news and information. The findings of this study could help producers of news content tailor their information to fit these new “publishing” formats to maintain (or perhaps increase) their audience.
Article
The growing use of social media like Facebook and Twitter is in the process of changing how news is produced, disseminated, and discussed. But so far, we have only a preliminary understanding of (1) how important social media are as sources of news relative to other media, (2) the extent to which people use them to find news, (3) how many use them to engage in more participatory forms of news use, and (4) whether these developments are similar within countries with otherwise comparable levels of technological development. Based on data from a cross-country online survey of news media use, we present a comparative analysis of the relative importance of social media for news in Denmark, France, Germany, Italy, Japan, Spain, the United Kingdom, and the United States, covering eight developed democracies with different media systems. We show that television remains both the most widely used and most important source of news in all these countries, and that even print newspapers are still more widely used and seen as more important sources of news than social media. We identify a set of similarities in terms of the growing importance of social media as part of people’s cross-media news habits, but also important country-to-country differences, in particular in terms of how widespread the more active and participatory forms of media use are. Surprisingly, these differences do not correspond to differences in levels of internet use, suggesting that more than mere availability shapes the role of social media as parts of people’s news habits.