Sang Jung Kim
Datos Biográficos
| ID | 4394342 |
|---|---|
| NOMBRE | Sang Jung Kim |
| NOMBRES | Sang Jung |
| APELLIDO | Kim |
| FIRMA | KIM S J |
| AFILIACIONES | University of Iowa |
| ORCID | 0000-0001-5861-728X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAS | 45 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 3 |
Networked Counterpublics and Contentious Publicity
Extremist online movements often leverage social media affordances to shape in-group identity and influence broader publics through agenda-setting practices. This study uses QAnon as a case of a networked counterpublic to examine how these processes unfolded between 2018 and 2021. Drawing on affordance theory, we analyze how QAnon discourse activated the affordances of visibility, association, and persistence on Parler and Twitter – two platforms…
Refusal as silence
Refusal behavior by Large Language Models (LLMs) is increasingly visible in content moderation, yet little is known about how refusals vary by the identity of the user making the request. This study investigates refusal as a sociotechnical outcome through a counterfactual persona design. Focusing on a Vision-Language Model (GPT-4V), we examine how gendered persona in prompts influence refusal in binary gender classification tasks. We vary gender …
Why are people skeptical of social media
You Are Not Fat”
Digital platforms have facilitated body-positive discourses that challenge appearance norms, yet these often intertwine with postfeminist elements, creating paradoxes that both resist and reinforce hegemonic ideals. By deploying computationally assisted critical thematic analysis across 1915 #RejectBodyAnxiety posts on RedNote, this study reveals both the breadth —the full variety of user-generated discursive elements and their articulation patte…
Introduction to the Special Issue
Only recently have terms like deepfakes, cheapfakes, generative adversarial networks, and synthetic media become common in the vernacular of visual communication scholars. Although this technology
Immunizing the Public Against AI-Generated Disinformation
Political deepfakes are considered detrimental to democracy by eroding public trust and distorting communication. Scholars have advocated for inoculation strategies to counter deepfakes, yet they have found that individuals’ partisan attitudes can undermine the effects of inoculation. Guided by inoculation theory and motivated reasoning theory, we conducted a 3 (Inoculation Mode: Passive vs. Active vs. No Inoculation) × 2 (Deepfake Attack: Pro-At…
Fighting Fire or Fighting War
551 U.S. adults) to examine the impact of war metaphors compared to non-metaphorical literal frames and fire metaphors (e.g. "the pandemic is a wildfire"). War metaphors exhibited little advantage over literal frames across a variety of desirable outcomes (i.e. the adoption of pro-health behaviors against COVID-19, perceived solidarity and collective responsibility to curb the pandemic, and intentions to discuss and share the health news with oth…
Slant, Extremity, and Diversity
The 2020 election and its aftermath present an opportunity to understand how audiences’ changing news consumption patterns within an expanded, digitized, and polarized media environment shape electoral judgments. This paper introduces measures that capture individuals’ partisan slant, partisan extremity, and overall diversity of news media use to understand how people interact with the contemporary news ecology. The measures combine self-reported…
Going Beyond Affective Polarization
The rise of social media as a source of science and health information has brought challenges to informed citizenship and social trust due to the spread of misinformation, particularly anti-vaccination messages that incite hatred and discourage necessary health precautions. These messages often employ emotional appeals and identity cues. However, scholarship examining emotional appeals and identity cues in anti-vax messages is still at the nascen…
Uncovering gender stereotypes in controversial science discourse
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions an…
Innovative ideas desire earlier communication
The serial‐order effect wherein originality increases over time is one of the most robust findings in modern psychology. This effect, found in either individual or group sessions, is based on associative and spreading activation mechanisms: Mental association takes place in temporal sequential order from commonly (closely) to unusually (distantly) related semantic concepts stored in long‐term memory. Thus, data from previous studies might suggest…
The use of emotions in conspiracy and debunking videos to engage publics on YouTube
With the rise of digital media, conspiracy theories infamous for their emotional manipulation have challenged science epistemology and democratic discourse. Despite extensive literature on misinformation and the role of emotion in persuasion, less is understood about how emotion is used in conspiracy and debunking messages on video platforms and the impact of emotional framing on public engagement with science on social media. Our article fills t…
Assembling the Networks and Audiences of Disinformation
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,…
Disinformation, performed
How disinformation campaigns operate and how they fit into the broader social communication environment – which has been described as a 'disinformation order' [Bennett & Livingston, (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European Journal of Communication, 33(2), 122–139] – represent critical, ongoing questions for political communication. We offer a thorough analysis of a highly succ…
The Wolves in Sheep’s Clothing
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…
The Wolves in Sheep’s Clothing
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…
Going Beyond Affective Polarization
The rise of social media as a source of science and health information has brought challenges to informed citizenship and social trust due to the spread of misinformation, particularly anti-vaccination messages that incite hatred and discourage necessary health precautions. These messages often employ emotional appeals and identity cues. However, scholarship examining emotional appeals and identity cues in anti-vax messages is still at the nascen…
The use of emotions in conspiracy and debunking videos to engage publics on YouTube
With the rise of digital media, conspiracy theories infamous for their emotional manipulation have challenged science epistemology and democratic discourse. Despite extensive literature on misinformation and the role of emotion in persuasion, less is understood about how emotion is used in conspiracy and debunking messages on video platforms and the impact of emotional framing on public engagement with science on social media. Our article fills t…
Slant, Extremity, and Diversity
The 2020 election and its aftermath present an opportunity to understand how audiences’ changing news consumption patterns within an expanded, digitized, and polarized media environment shape electoral judgments. This paper introduces measures that capture individuals’ partisan slant, partisan extremity, and overall diversity of news media use to understand how people interact with the contemporary news ecology. The measures combine self-reported…
Uncovering gender stereotypes in controversial science discourse
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions an…
Disinformation, performed
How disinformation campaigns operate and how they fit into the broader social communication environment – which has been described as a 'disinformation order' [Bennett & Livingston, (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European Journal of Communication, 33(2), 122–139] – represent critical, ongoing questions for political communication. We offer a thorough analysis of a highly succ…
The Wolves in Sheep’s Clothing
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…
Assembling the Networks and Audiences of Disinformation
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,…
The use of emotions in conspiracy and debunking videos to engage publics on YouTube
With the rise of digital media, conspiracy theories infamous for their emotional manipulation have challenged science epistemology and democratic discourse. Despite extensive literature on misinformation and the role of emotion in persuasion, less is understood about how emotion is used in conspiracy and debunking messages on video platforms and the impact of emotional framing on public engagement with science on social media. Our article fills t…
Uncovering gender stereotypes in controversial science discourse
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions an…
Innovative ideas desire earlier communication
The serial‐order effect wherein originality increases over time is one of the most robust findings in modern psychology. This effect, found in either individual or group sessions, is based on associative and spreading activation mechanisms: Mental association takes place in temporal sequential order from commonly (closely) to unusually (distantly) related semantic concepts stored in long‐term memory. Thus, data from previous studies might suggest…
Fighting Fire or Fighting War
551 U.S. adults) to examine the impact of war metaphors compared to non-metaphorical literal frames and fire metaphors (e.g. "the pandemic is a wildfire"). War metaphors exhibited little advantage over literal frames across a variety of desirable outcomes (i.e. the adoption of pro-health behaviors against COVID-19, perceived solidarity and collective responsibility to curb the pandemic, and intentions to discuss and share the health news with oth…
Slant, Extremity, and Diversity
The 2020 election and its aftermath present an opportunity to understand how audiences’ changing news consumption patterns within an expanded, digitized, and polarized media environment shape electoral judgments. This paper introduces measures that capture individuals’ partisan slant, partisan extremity, and overall diversity of news media use to understand how people interact with the contemporary news ecology. The measures combine self-reported…
Going Beyond Affective Polarization
The rise of social media as a source of science and health information has brought challenges to informed citizenship and social trust due to the spread of misinformation, particularly anti-vaccination messages that incite hatred and discourage necessary health precautions. These messages often employ emotional appeals and identity cues. However, scholarship examining emotional appeals and identity cues in anti-vax messages is still at the nascen…
Introduction to the Special Issue
Only recently have terms like deepfakes, cheapfakes, generative adversarial networks, and synthetic media become common in the vernacular of visual communication scholars. Although this technology
Immunizing the Public Against AI-Generated Disinformation
Political deepfakes are considered detrimental to democracy by eroding public trust and distorting communication. Scholars have advocated for inoculation strategies to counter deepfakes, yet they have found that individuals’ partisan attitudes can undermine the effects of inoculation. Guided by inoculation theory and motivated reasoning theory, we conducted a 3 (Inoculation Mode: Passive vs. Active vs. No Inoculation) × 2 (Deepfake Attack: Pro-At…
Networked Counterpublics and Contentious Publicity
Extremist online movements often leverage social media affordances to shape in-group identity and influence broader publics through agenda-setting practices. This study uses QAnon as a case of a networked counterpublic to examine how these processes unfolded between 2018 and 2021. Drawing on affordance theory, we analyze how QAnon discourse activated the affordances of visibility, association, and persistence on Parler and Twitter – two platforms…
Refusal as silence
Refusal behavior by Large Language Models (LLMs) is increasingly visible in content moderation, yet little is known about how refusals vary by the identity of the user making the request. This study investigates refusal as a sociotechnical outcome through a counterfactual persona design. Focusing on a Vision-Language Model (GPT-4V), we examine how gendered persona in prompts influence refusal in binary gender classification tasks. We vary gender …
Why are people skeptical of social media
You Are Not Fat”
Digital platforms have facilitated body-positive discourses that challenge appearance norms, yet these often intertwine with postfeminist elements, creating paradoxes that both resist and reinforce hegemonic ideals. By deploying computationally assisted critical thematic analysis across 1915 #RejectBodyAnxiety posts on RedNote, this study reveals both the breadth —the full variety of user-generated discursive elements and their articulation patte…
Political science (9 obras) · Sociology (9 obras) · Misinformation and Its Impacts (8 obras) · Psychology (7 obras) · Social media (7 obras) · Computer Science (6 obras) · Media studies (6 obras) · Politics (6 obras) · Social Media and Politics (6 obras) · Public opinion (4 obras)