Min-Hsin Su
Biographic Data
| ID | 292113 |
|---|---|
| NAME | Min-Hsin Su |
| GIVEN NAMES | Min-Hsin |
| FAMILY NAME | Su |
| SIGNATURE | SU M |
| AFFILIATIONS | University of Wisconsin–Madison |
| ORCID | 0000-0002-7198-4874 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 37 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Spousal correlations for nine psychiatric disorders are consistent across cultures and persistent over generations
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…
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 …
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,…
What Motivates People to Correct Misinformation? Examining the Effects of Third-person Perceptions and Perceived Norms
Studies have suggested that rumors may ultimately be “self-corrected” by online crowds. Following the previous literature, we explored how two perceptual factors, including the third-person perception (TPP) and perceived norms, predict people’s intentions to correct misinformation online. Our findings show that people’s corrective intentions are positively associated with both factors. While previous scholarship typically understands corrective a…
Polarization Over Vaccination: Ideological Differences in Twitter Expression About Covid-19 Vaccine Favorability and Specific Hesitancy Concerns
Vaccine hesitancy has been a growing public health issue, but during COVID-19, understanding vaccine hesitancy and promote vaccine favorability takes on a troubling immediacy. With the growing political polarization on scientific issues, the COVID-19 vaccine-related sentiment has recently been divided across ideological lines. This study aims to understand how vaccine favorability and specific vaccine-related concerns including possible side effe…
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 Effects of Framing and Advocacy Expectancy on Belief Importance and Issue Attitude
Message frames have been found to influence relevant issue attitudes by influencing the weight of issue considerations emphasized in the message. As such message frames often originate from advocacy interest groups, this study investigates differences in the framing effects of advocacy groups, depending on whether the message fits readers’ expectations for the communicators’ issue position (expected advocacy) or not (unexpected advocacy). Across …
Real Talk About Fake News: Identity Language and Disconnected Networks of the US Public's 'Fake News' Discourse on Twitter
This article studies 'fake news' beyond the consumption and dissemination of misinformation and disinformation. We uncover how the term 'fake news' serves as a discursive device for ordinary citizens to consolidate group identity in everyday political utterances on Twitter. Using computational linguistic and network analyses, we demonstrate that over the period of 2016-2018, there is an uptrend in the use of identity language in US Twitter users'…
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…
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…
Real Talk About Fake News: Identity Language and Disconnected Networks of the US Public's 'Fake News' Discourse on Twitter
This article studies 'fake news' beyond the consumption and dissemination of misinformation and disinformation. We uncover how the term 'fake news' serves as a discursive device for ordinary citizens to consolidate group identity in everyday political utterances on Twitter. Using computational linguistic and network analyses, we demonstrate that over the period of 2016-2018, there is an uptrend in the use of identity language in US Twitter users'…
Polarization Over Vaccination: Ideological Differences in Twitter Expression About Covid-19 Vaccine Favorability and Specific Hesitancy Concerns
Vaccine hesitancy has been a growing public health issue, but during COVID-19, understanding vaccine hesitancy and promote vaccine favorability takes on a troubling immediacy. With the growing political polarization on scientific issues, the COVID-19 vaccine-related sentiment has recently been divided across ideological lines. This study aims to understand how vaccine favorability and specific vaccine-related concerns including possible side effe…
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…
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 …
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…
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 Effects of Framing and Advocacy Expectancy on Belief Importance and Issue Attitude
Message frames have been found to influence relevant issue attitudes by influencing the weight of issue considerations emphasized in the message. As such message frames often originate from advocacy interest groups, this study investigates differences in the framing effects of advocacy groups, depending on whether the message fits readers’ expectations for the communicators’ issue position (expected advocacy) or not (unexpected advocacy). Across …
Real Talk About Fake News: Identity Language and Disconnected Networks of the US Public's 'Fake News' Discourse on Twitter
This article studies 'fake news' beyond the consumption and dissemination of misinformation and disinformation. We uncover how the term 'fake news' serves as a discursive device for ordinary citizens to consolidate group identity in everyday political utterances on Twitter. Using computational linguistic and network analyses, we demonstrate that over the period of 2016-2018, there is an uptrend in the use of identity language in US Twitter users'…
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,…
What Motivates People to Correct Misinformation? Examining the Effects of Third-person Perceptions and Perceived Norms
Studies have suggested that rumors may ultimately be “self-corrected” by online crowds. Following the previous literature, we explored how two perceptual factors, including the third-person perception (TPP) and perceived norms, predict people’s intentions to correct misinformation online. Our findings show that people’s corrective intentions are positively associated with both factors. While previous scholarship typically understands corrective a…
Polarization Over Vaccination: Ideological Differences in Twitter Expression About Covid-19 Vaccine Favorability and Specific Hesitancy Concerns
Vaccine hesitancy has been a growing public health issue, but during COVID-19, understanding vaccine hesitancy and promote vaccine favorability takes on a troubling immediacy. With the growing political polarization on scientific issues, the COVID-19 vaccine-related sentiment has recently been divided across ideological lines. This study aims to understand how vaccine favorability and specific vaccine-related concerns including possible side effe…
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 …
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…
Spousal correlations for nine psychiatric disorders are consistent across cultures and persistent over generations
Political science (8 works) · Psychology (8 works) · Law (7 works) · Social Media and Politics (7 works) · Social Psychology (7 works) · Politics (6 works) · Sociology (5 works) · Media studies (4 works) · Misinformation and Its Impacts (4 works) · Social media (4 works)