J Suk
Biographic Data
| ID | 54063 |
|---|---|
| NAME | J Suk |
| GIVEN NAMES | J |
| FAMILY NAME | Suk |
| SIGNATURE | SUK J |
| AFFILIATIONS | University of Connecticut |
| ORCID | 0000-0003-4690-2395 |
| VERIFIED | Yes |
| TOTAL WORKS | 35 |
| TOTAL CITATIONS | 78 |
| AUTHOR COUNT | 35 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
Rethinking digital trace inference in political communication: Evidence from a simulated platform experiment
Digital trace data such as likes, shares, and comments are widely used to infer what captures attention in digital political communication. Yet these visible signals may not map closely onto underlying attention, especially in political contexts where users may monitor content without publicly engaging with it. We examine this attention-engagement discrepancy in a 2 (content domain: political vs. nonpolitical) × 3 (feed curation: engagement-based…
Cross-platformization: How U.S. right-leaning media curate their posts on Twitter and Truth Social
This study examines how seven right-leaning media organizations utilize cross-platformization strategies to reach audiences across multiple platforms; in this case, Twitter and Truth Social. Focusing on both content volume and story packaging, we collect right-leaning media organizations’ social media posts and content from the 2022 U.S. midterm election. Combining computational and qualitative methods, we find that outlets posted only a small sh…
From #StayWoke to “Culture Wars”: How Social Justice Discourse is Separately and Synergistically Politicized on Twitter and YouTube
This paper explores how the discourse surrounding a racially marginalized community becomes politicized via culture war narratives across platforms. Drawing from identity politics and political polarization research, we discuss how racial justice discourse can be hijacked by partisan opinion leaders and their followers over time and explain how this process plays out through both differentiated and coordinated social media platform use. Situating…
From Mass Media and Social Media to AI: A Multilevel Framework for Understanding Trust in Generative AI
Beyond the post: Effects of vividness dominance on attention and recall of visual misinformation on social media
Political Communication Special Issue Introduction: Multi-Platform Research
In this introduction to the Multi-Platform Research Special Issue, we continue a field-wide discussion regarding how political communication scholars conduct multi-platform research. Despite the continued challenges to develop both robust methods and longstanding theoretical frameworks, political communication research that accounts for multiple platforms has continued to grow. In addition to noting these challenges, we outline a framework to dis…
Trending women in STEM: Visual space-making on TikTok
While previous research has established foundational knowledge on how women in STEM (Science, Technology, Engineering, and Math) social media content creators use digital platforms to combat stereotypes, less is known about how they make space for themselves on visually dominant platforms. We address this gap by theorizing visual space-making as the coordinated use of visual cues into reproducible, platform-legible visual configurations that crea…
Digital Feminism and Anti-Feminism in Interaction: Relational Dynamics and Hybridization Across Seven Spanish-Speaking Communities on Twitter
This study advances a relational and translocal approach to hybridization through a comparative computational analysis of how feminist and anti-feminist discourses coevolve across seven Spanish-speaking Twitter communities. Drawing on 126,978 tweets from the first year of #MeToo, we use time-series analysis, topic modeling, and cross-national comparison to examine how discourses interact and how national contexts shape thematic trajectories. We i…
Communicative AI in the scientific public sphere: An analysis of Twitter discourse on generative AI tools
From activism to polarization: Temporal dynamics of #MeToo politicization on Twitter/X
This study is focused on how social media activism is politicized over time, attending to diverse groups of users and their response to real-world events on social media. Extending the scholarship on politicization, we hypothesize three temporal dimensions of this process: partisan voices (1) crowd out activist voices, (2) show sustained participation, and (3) respond to events selectively through partisan references and criticisms. Situating our…
Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections
In this multi-platform, comparative study, we analyze social media messages from political candidates ( N = 1,517) running for Congress during the 2022 U.S. Midterm election. We collect data from seven social media platforms: Facebook, Twitter, Truth Social, Gettr, Instagram, YouTube, and Rumble over the 4 weeks before and after election day. With this unique dataset of posts, we apply computational methods to identify messages that sought to mob…
Navigating the complexity of visual misinformation: Developing the Visual Misinformation Processing Model for visual-text misinformation dynamics
In the current media landscape, misinformation has evolved into a multimodal challenge, presenting misinformation through various modalities simultaneously, particularly through text and visuals. Despite increasing scholarly attention to visual misinformation, as one type of multimodal misinformation, there is a lack of a unified theoretical framework for understanding the cognitive processes involved in how people process visual misinformation a…
‘Think global, act local’: How #MeToo hybridized across borders and platforms for contextual relevance
Beyond a consciousness-raising hashtag, #MeToo has become a transnational movement, crossing the borders of many societies. However, outsized attention has been paid to the manifestations of #MeToo in the US and on Twitter when the reach of this movement was not restricted to a single country, language, or platform. Drawing from the concept of hybridization, we seek to understand how the uses of #MeToo are contextualized across cultures, language…
Empowered or Constrained in Platform Governance? An Analysis of Twitter Users’ Responses to Elon Musk’s Takeover
Centering on social media’s public- and profit-oriented nature, this study theorizes how social media users are empowered and constrained when participating in platform governance through user-initiated expressions on platforms. The empirical analysis focuses on user responses before and after Elon Musk’s official acquisition of Twitter, utilizing cluster analysis and topic modeling to examine the volume and content of related discourses among di…
Platform affordances, discursive opportunities, and social media activism: A cross-platform analysis of #MeToo on Twitter, Facebook, and Reddit, 2017–2020
This study proposes affordances for discursive opportunities (ADO) as a theoretical framework that leverages the concept of technological affordances and the theory of discursive opportunities to understand platform potential in shaping social media activism. Specifically, ADO underscores how social media platform affordances (e.g., algorithmic curation, shared group identity and culture, connectivity) shape movement visibility, resonance, and le…
Trump, Twitter, and Truth Social: How Trump used both mainstream and alt-tech social media to drive news media attention
Former President Donald Trump is well-known for dominating the attention-driven hybrid media system through his controversial tweets, which spurred social media user engagement and news media attention. The removal of Trump from Twitter/X raises questions about his continued ability to drive news attention through his alt-tech platform, Truth Social. Our analysis shows that the retweets and "retruths" Trump gained predicted related news attention…
Women in STEM on TikTok: Advancing Visibility and Voice Through STEM Identity Expression
This study investigated portrayals of women in STEM on TikTok focusing on their self-presentation of identity and use of platform features to promote audience engagement. This quantitative content analysis examined TikTok posts ( N = 400) from a 3-month sample of 100 TikTok accounts by individuals identified as women in STEM. Results for STEM-focused posts showed that these content creators provided positive portrayals of their work as women in S…
When the Personal Becomes Political: Unpacking the Dynamics of Sexual Violence and Gender Justice Discourses Across Four Social Media Platforms
We propose a three-pronged framework to study discourses surrounding social media activism initiated by networked counterpublics: personalized expressions that share stories and support, demands for changes that address systematic problems, and contentions between various actors and perspectives. These discourses were more sensitive to real-world events on Twitter and Facebook, but more ephemeral and cyclical on Instagram and more persistent and …
WordPPR: A Researcher-Driven Computational Keyword Selection Method for Text Data Retrieval from Digital Media
Despite the increasing use of digital media data in communication research, a central challenge persists – retrieving data with maximal accuracy and coverage. Our investigation of keyword-based data collection practices in extant communication research reveals a one-step process, whereas our cross-disciplinary literature review suggests an iterative query expansion process guided by human knowledge and computer intelligence. Hence, we introduce t…
From Weinstein to Kavanaugh: Shifting coverage of sexual violence and the #MeToo movement across U.S. news media
This study explores the framing strategies and language features of U.S. news coverage surrounding sexual violence and gender issues across the ideological media spectrum at two pivotal phases of the #MeToo movement: (1) during its initial rise as a hashtag-driven social movement in 2017 and (2) during the Kavanaugh nomination and confirmation in 2018. Using structural topic modeling, community detection, and feature extraction, we reveal a heigh…
Communication work about chronic pain: A mixed methods application and extension of the integrative theory of communication work
Guided by the integrative theory of communication work, we present a computational and qualitative analysis of Reddit comments authored by patient-users living with chronic overlapping pain conditions. We first employed computational text analysis to compress the data corpus via structural topic modeling. The community detection algorithm Louvain was employed to identify communities of topics within the data. Then, we extracted a subset of the da…
Spatial Polarization, Partisan Climate, and Participatory Actions: Do Congenial Contexts Lead to Mobilization, Resignation, Activation, or Complacency
Feminism Not for All? The Discourse Around White Feminism Across Five Social Media Platforms
BIPOC scholars have criticized that feminism and feminist activism have often failed to include race, class, and intersectional identities in the feminist agenda. Using theoretical concepts from framing, rhetoric, and cross-platform activism, we examine (a) the discourse in social media posts around white feminism and (b) the platform differences of this content across five different social media platforms: Twitter, Facebook, Instagram, Reddit, a…
Political Events in a Partisan Media Ecology: Asymmetric Influence on Candidate Appraisals
Political campaigns often feature jarring revelations against candidates. This study examines how audiences come to understand major campaign events, the extent to which they shape evaluations of candidates, and how their impact is filtered through an increasingly partisan news media environment. Using national rolling cross-sectional survey data collected over the 2016 U.S. presidential election period, we show partisan asymmetries in the way ma…
Social Media Expression, Political Extremity, and Reduced Network Interaction: An Imagined Audience Approach
The recent rise of political extremity and radicalization has presented unique challenges to contemporary politics, governance, and social cohesion in many societies in the world. In this study, we propose an imagined audience approach to understand how social media's expanded expression capabilities are related to users' political extremity and reduced network interaction. We demonstrate the usefulness of our imagined audience framework using a …
The Wolves in Sheep’s Clothing: How Russia’s Internet Research Agency Tweets Appeared in U.S. News as Vox Populi
The Russian-sponsored Internet Research Agency’s (IRA) use of social media to influence U.S. political discourse is undoubtedly troubling. However, scholarly attention has focused on social media, overlooking the role that news media within the country played in amplifying false, foreign messages. In this article, we examine articles in the U.S. news media system that quoted IRA tweets through the lens of changing journalism practices in the hybr…
Whose Lives Matter? Mass Shootings and Social Media Discourses of Sympathy and Policy, 2012–2014
This study focuses on the outpouring of sympathy in response to mass shootings and the contestation over gun policy on Twitter from 2012 to 2014 and relates these discourses to features of mass shooting events. We use two approaches to Twitter text analysis—hashtag grouping and supervised machine learning (ML)—to triangulate an understanding of intensity and duration of “thoughts and prayers,” gun control, and gun rights discourses. We conduct pa…
Trump, Twitter, and Truth Social: How Trump used both mainstream and alt-tech social media to drive news media attention
Former President Donald Trump is well-known for dominating the attention-driven hybrid media system through his controversial tweets, which spurred social media user engagement and news media attention. The removal of Trump from Twitter/X raises questions about his continued ability to drive news attention through his alt-tech platform, Truth Social. Our analysis shows that the retweets and "retruths" Trump gained predicted related news attention…
The more you know, the less you like: A comparative study of how news and political conversation shape political knowledge and affective polarization
The contemporary communication ecology contributes to affective polarization by presenting us with extreme exemplars of disliked groups. News exposure that is associated with political discussion networks is related to greater political knowledge, yet unlike previous eras where political knowledge and tolerance went hand in hand, this is no longer the case. We employ a comparative design to examine this idea among two democracies with differing l…
News Media Use, Talk Networks, and Anti-Elitism across Geographic Location: Evidence from Wisconsin
A certain social-political geography recurs across European and North American societies: As post-industrialization and mechanization of agriculture have disrupted economies, rural and nonmetropolitan areas are aging and declining in population, leading to widening political and cultural gaps between metropolitan and rural communities. Yet political communication research tends to focus on national or cross-national levels, often emphasizing netw…
Platform affordances, discursive opportunities, and social media activism: A cross-platform analysis of #MeToo on Twitter, Facebook, and Reddit, 2017–2020
This study proposes affordances for discursive opportunities (ADO) as a theoretical framework that leverages the concept of technological affordances and the theory of discursive opportunities to understand platform potential in shaping social media activism. Specifically, ADO underscores how social media platform affordances (e.g., algorithmic curation, shared group identity and culture, connectivity) shape movement visibility, resonance, and le…
Do Improving Conditions Harden Partisan Preferences? Lived Experiences, Imagined Communities, and Polarized Evaluations
Despite growing attention to an increasing partisan divide and populist voting, little attention has been directed at how social contexts might encourage greater or lesser political polarization. We address this gap by studying how county-level conditions—economic resilience, population change, and community health—intersect with individuals’ political orientations and communication patterns to shape partisan evaluations. Our context is Wisconsin…
Empowered or Constrained in Platform Governance? An Analysis of Twitter Users’ Responses to Elon Musk’s Takeover
Centering on social media’s public- and profit-oriented nature, this study theorizes how social media users are empowered and constrained when participating in platform governance through user-initiated expressions on platforms. The empirical analysis focuses on user responses before and after Elon Musk’s official acquisition of Twitter, utilizing cluster analysis and topic modeling to examine the volume and content of related discourses among di…
From Weinstein to Kavanaugh: Shifting coverage of sexual violence and the #MeToo movement across U.S. news media
This study explores the framing strategies and language features of U.S. news coverage surrounding sexual violence and gender issues across the ideological media spectrum at two pivotal phases of the #MeToo movement: (1) during its initial rise as a hashtag-driven social movement in 2017 and (2) during the Kavanaugh nomination and confirmation in 2018. Using structural topic modeling, community detection, and feature extraction, we reveal a heigh…
Communication work about chronic pain: A mixed methods application and extension of the integrative theory of communication work
Guided by the integrative theory of communication work, we present a computational and qualitative analysis of Reddit comments authored by patient-users living with chronic overlapping pain conditions. We first employed computational text analysis to compress the data corpus via structural topic modeling. The community detection algorithm Louvain was employed to identify communities of topics within the data. Then, we extracted a subset of the da…
Spatial Polarization, Partisan Climate, and Participatory Actions: Do Congenial Contexts Lead to Mobilization, Resignation, Activation, or Complacency
Social Media Expression, Political Extremity, and Reduced Network Interaction: An Imagined Audience Approach
The recent rise of political extremity and radicalization has presented unique challenges to contemporary politics, governance, and social cohesion in many societies in the world. In this study, we propose an imagined audience approach to understand how social media's expanded expression capabilities are related to users' political extremity and reduced network interaction. We demonstrate the usefulness of our imagined audience framework using a …
Understanding Trump Supporters’ News Use: Beyond the Fox News Bubble
Since the 2016 election, the relationship between Trump supporters and Fox News has gained considerable attention. Drawing on interviews with more than 200 people and a representative survey conducted in the state of Wisconsin, we dive deeper into the media habits of Trump supporters using a mixed methods analytical approach. While we do not refute the importance of Fox News in the conservative media ecology, we find that characterizing Trump sup…
Feminism Not for All? The Discourse Around White Feminism Across Five Social Media Platforms
BIPOC scholars have criticized that feminism and feminist activism have often failed to include race, class, and intersectional identities in the feminist agenda. Using theoretical concepts from framing, rhetoric, and cross-platform activism, we examine (a) the discourse in social media posts around white feminism and (b) the platform differences of this content across five different social media platforms: Twitter, Facebook, Instagram, Reddit, a…
Covering #MeToo across the News Spectrum: Political Accusation and Public Events as Drivers of Press Attention
Garnering coverage across the political spectrum is a major challenge for burgeoning social movements. The #MeToo movement stands out due to the volume of attention it generated. Yet, it is unclear how news media across the partisan spectrum covered the movement using different sexual violence language markers, latent topic, and word choices and which accusations and events drove media attention. To examine this, we used Media Cloud to extract 17…
The Wolves in Sheep’s Clothing: How Russia’s Internet Research Agency Tweets Appeared in U.S. News as Vox Populi
The Russian-sponsored Internet Research Agency’s (IRA) use of social media to influence U.S. political discourse is undoubtedly troubling. However, scholarly attention has focused on social media, overlooking the role that news media within the country played in amplifying false, foreign messages. In this article, we examine articles in the U.S. news media system that quoted IRA tweets through the lens of changing journalism practices in the hybr…
Whose Lives Matter? Mass Shootings and Social Media Discourses of Sympathy and Policy, 2012–2014
This study focuses on the outpouring of sympathy in response to mass shootings and the contestation over gun policy on Twitter from 2012 to 2014 and relates these discourses to features of mass shooting events. We use two approaches to Twitter text analysis—hashtag grouping and supervised machine learning (ML)—to triangulate an understanding of intensity and duration of “thoughts and prayers,” gun control, and gun rights discourses. We conduct pa…
Do Improving Conditions Harden Partisan Preferences? Lived Experiences, Imagined Communities, and Polarized Evaluations
Despite growing attention to an increasing partisan divide and populist voting, little attention has been directed at how social contexts might encourage greater or lesser political polarization. We address this gap by studying how county-level conditions—economic resilience, population change, and community health—intersect with individuals’ political orientations and communication patterns to shape partisan evaluations. Our context is Wisconsin…
Understanding Trump Supporters’ News Use: Beyond the Fox News Bubble
Since the 2016 election, the relationship between Trump supporters and Fox News has gained considerable attention. Drawing on interviews with more than 200 people and a representative survey conducted in the state of Wisconsin, we dive deeper into the media habits of Trump supporters using a mixed methods analytical approach. While we do not refute the importance of Fox News in the conservative media ecology, we find that characterizing Trump sup…
Covering #MeToo across the News Spectrum: Political Accusation and Public Events as Drivers of Press Attention
Garnering coverage across the political spectrum is a major challenge for burgeoning social movements. The #MeToo movement stands out due to the volume of attention it generated. Yet, it is unclear how news media across the partisan spectrum covered the movement using different sexual violence language markers, latent topic, and word choices and which accusations and events drove media attention. To examine this, we used Media Cloud to extract 17…
Assembling the Networks and Audiences of Disinformation: How Successful Russian IRA Twitter Accounts Built Their Followings, 2015–2017
This study investigates how successful Russian Internet Research Agency (IRA) Twitter accounts constructed the followings that were central to their disinformation campaigns around the 2016 U.S. presidential election. Treating an account’s social media following as both an ego network and an audience critical for information diffusion and influence accrual, we situate IRA Twitter accounts’ accumulation of followers in the ideologically polarized,…
Breaking the “Virtuous Circle”: How Partisan Communication Flows Can Erode Social Trust but Drive Participation
We examine how individuals’ interactions with the shifting contemporary communication ecology—either by seeking information selectively from partisan sources or immersing themselves in a broad range of partisan communications — relate to shifting levels of social trust and online engagement. Using national panel surveys of young adults (i.e., millennials age 18–34) collected over the 2016 U.S. presidential election, we find that individuals’ part…
The more you know, the less you like: A comparative study of how news and political conversation shape political knowledge and affective polarization
The contemporary communication ecology contributes to affective polarization by presenting us with extreme exemplars of disliked groups. News exposure that is associated with political discussion networks is related to greater political knowledge, yet unlike previous eras where political knowledge and tolerance went hand in hand, this is no longer the case. We employ a comparative design to examine this idea among two democracies with differing l…
News Media Use, Talk Networks, and Anti-Elitism across Geographic Location: Evidence from Wisconsin
A certain social-political geography recurs across European and North American societies: As post-industrialization and mechanization of agriculture have disrupted economies, rural and nonmetropolitan areas are aging and declining in population, leading to widening political and cultural gaps between metropolitan and rural communities. Yet political communication research tends to focus on national or cross-national levels, often emphasizing netw…
Free and Fair? The Differential Experiences of Voting Barriers and Voting Policies in American Midterm Elections
In this research note, we provide evidence about burdens people face when voting and who benefits from policies designed to mitigate those burdens. Using pre-and-post 2018 midterm elections panel surveys in Wisconsin, we show that Black voters estimate greater time getting to the polls and Hispanic voters report longer wait times once they are there. Regarding who takes advantage of policies purported to ease these burdens on voting—early voting,…
Political Events in a Partisan Media Ecology: Asymmetric Influence on Candidate Appraisals
Political campaigns often feature jarring revelations against candidates. This study examines how audiences come to understand major campaign events, the extent to which they shape evaluations of candidates, and how their impact is filtered through an increasingly partisan news media environment. Using national rolling cross-sectional survey data collected over the 2016 U.S. presidential election period, we show partisan asymmetries in the way ma…
Social Media Expression, Political Extremity, and Reduced Network Interaction: An Imagined Audience Approach
The recent rise of political extremity and radicalization has presented unique challenges to contemporary politics, governance, and social cohesion in many societies in the world. In this study, we propose an imagined audience approach to understand how social media's expanded expression capabilities are related to users' political extremity and reduced network interaction. We demonstrate the usefulness of our imagined audience framework using a …
When the Personal Becomes Political: Unpacking the Dynamics of Sexual Violence and Gender Justice Discourses Across Four Social Media Platforms
We propose a three-pronged framework to study discourses surrounding social media activism initiated by networked counterpublics: personalized expressions that share stories and support, demands for changes that address systematic problems, and contentions between various actors and perspectives. These discourses were more sensitive to real-world events on Twitter and Facebook, but more ephemeral and cyclical on Instagram and more persistent and …
WordPPR: A Researcher-Driven Computational Keyword Selection Method for Text Data Retrieval from Digital Media
Despite the increasing use of digital media data in communication research, a central challenge persists – retrieving data with maximal accuracy and coverage. Our investigation of keyword-based data collection practices in extant communication research reveals a one-step process, whereas our cross-disciplinary literature review suggests an iterative query expansion process guided by human knowledge and computer intelligence. Hence, we introduce t…
From Weinstein to Kavanaugh: Shifting coverage of sexual violence and the #MeToo movement across U.S. news media
This study explores the framing strategies and language features of U.S. news coverage surrounding sexual violence and gender issues across the ideological media spectrum at two pivotal phases of the #MeToo movement: (1) during its initial rise as a hashtag-driven social movement in 2017 and (2) during the Kavanaugh nomination and confirmation in 2018. Using structural topic modeling, community detection, and feature extraction, we reveal a heigh…
Communication work about chronic pain: A mixed methods application and extension of the integrative theory of communication work
Guided by the integrative theory of communication work, we present a computational and qualitative analysis of Reddit comments authored by patient-users living with chronic overlapping pain conditions. We first employed computational text analysis to compress the data corpus via structural topic modeling. The community detection algorithm Louvain was employed to identify communities of topics within the data. Then, we extracted a subset of the da…
Spatial Polarization, Partisan Climate, and Participatory Actions: Do Congenial Contexts Lead to Mobilization, Resignation, Activation, or Complacency
Feminism Not for All? The Discourse Around White Feminism Across Five Social Media Platforms
BIPOC scholars have criticized that feminism and feminist activism have often failed to include race, class, and intersectional identities in the feminist agenda. Using theoretical concepts from framing, rhetoric, and cross-platform activism, we examine (a) the discourse in social media posts around white feminism and (b) the platform differences of this content across five different social media platforms: Twitter, Facebook, Instagram, Reddit, a…
‘Think global, act local’: How #MeToo hybridized across borders and platforms for contextual relevance
Beyond a consciousness-raising hashtag, #MeToo has become a transnational movement, crossing the borders of many societies. However, outsized attention has been paid to the manifestations of #MeToo in the US and on Twitter when the reach of this movement was not restricted to a single country, language, or platform. Drawing from the concept of hybridization, we seek to understand how the uses of #MeToo are contextualized across cultures, language…
Empowered or Constrained in Platform Governance? An Analysis of Twitter Users’ Responses to Elon Musk’s Takeover
Centering on social media’s public- and profit-oriented nature, this study theorizes how social media users are empowered and constrained when participating in platform governance through user-initiated expressions on platforms. The empirical analysis focuses on user responses before and after Elon Musk’s official acquisition of Twitter, utilizing cluster analysis and topic modeling to examine the volume and content of related discourses among di…
Platform affordances, discursive opportunities, and social media activism: A cross-platform analysis of #MeToo on Twitter, Facebook, and Reddit, 2017–2020
This study proposes affordances for discursive opportunities (ADO) as a theoretical framework that leverages the concept of technological affordances and the theory of discursive opportunities to understand platform potential in shaping social media activism. Specifically, ADO underscores how social media platform affordances (e.g., algorithmic curation, shared group identity and culture, connectivity) shape movement visibility, resonance, and le…
Trump, Twitter, and Truth Social: How Trump used both mainstream and alt-tech social media to drive news media attention
Former President Donald Trump is well-known for dominating the attention-driven hybrid media system through his controversial tweets, which spurred social media user engagement and news media attention. The removal of Trump from Twitter/X raises questions about his continued ability to drive news attention through his alt-tech platform, Truth Social. Our analysis shows that the retweets and "retruths" Trump gained predicted related news attention…
Women in STEM on TikTok: Advancing Visibility and Voice Through STEM Identity Expression
This study investigated portrayals of women in STEM on TikTok focusing on their self-presentation of identity and use of platform features to promote audience engagement. This quantitative content analysis examined TikTok posts ( N = 400) from a 3-month sample of 100 TikTok accounts by individuals identified as women in STEM. Results for STEM-focused posts showed that these content creators provided positive portrayals of their work as women in S…
Communicative AI in the scientific public sphere: An analysis of Twitter discourse on generative AI tools
From activism to polarization: Temporal dynamics of #MeToo politicization on Twitter/X
This study is focused on how social media activism is politicized over time, attending to diverse groups of users and their response to real-world events on social media. Extending the scholarship on politicization, we hypothesize three temporal dimensions of this process: partisan voices (1) crowd out activist voices, (2) show sustained participation, and (3) respond to events selectively through partisan references and criticisms. Situating our…
Social Media and Politics (24 works) · Political science (21 works) · Politics (19 works) · Sociology (17 works) · Social media (16 works) · Psychology (14 works) · Computer Science (12 works) · Media studies (11 works) · Law (10 works) · Media Studies and Communication (10 works)