M Chung
Biographic Data
| ID | 45336 |
|---|---|
| NAME | M Chung |
| GIVEN NAMES | M |
| FAMILY NAME | Chung |
| SIGNATURE | CHUNG M |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0001-6290-859X |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 20 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Overconfident youth, underconfident elders: Age differences in algorithmic knowledge confidence and information perceptions
Age-related differences in algorithmic knowledge are typically interpreted as competence gaps that render younger “digital natives” better equipped and older users more vulnerable in algorithmically curated environments. This study challenges these assumptions by examining (a) algorithmic knowledge confidence—whether users’ subjective algorithmic knowledge exceeds or falls short of their algorithmic awareness and knowledge—and (b) what consequenc…
Thinking Hard, Thinking Smart: How News Users’ Cognitive Traits Guide Their Responses to Fact-Checks
The efficacy of fact-checks for correcting misbeliefs has been a subject of debate, partially because people tend to assume what is being told is true upon encountering misinformation, which heightens resistance to corrective information they encounter later. The current study examined how the truth bias might affect individuals’ responses to falsifying and verifying fact-checks, and if individuals’ cognitive traits moderate such effects. Overall…
To Disclose or Not to Disclose: How AI Use Transparency Increases Trust in Fact-Checking
I see a double-edged sword: How self-other perceptual gaps predict public attitudes toward ChatGPT regulations and literacy interventions
The double-edged nature of generative artificial intelligence (AI) underscores the importance of understanding complex and paradoxical public views about this emerging technology. Heeding to this call, this study examined how the general public perceives and reacts to Chat GPT and the implications of these perceptions, drawing on the third-person and first-person effect. A national survey in the United States ( N = 1004) revealed that individuals…
AI as an Apolitical Referee: Using Alternative Sources to Decrease Partisan Biases in the Processing of Fact-Checking Messages
While fact-checking has received much attention as a tool to fight misinformation online, fact-checking efforts have yielded limited success in combating political misinformation due to partisans’ biased information processing. The efficacy of fact-checking often decreases, if not backfires, when the fact-checking messages contradict individual audiences’ political stance. To explore ways to minimize such politically biased processing of fact-che…
Another Point of View: Scholarly Responses to the State of Third-Person Research
In a series of essays, scholars respond to Perloff and Shen’s article, “The Third-Person Effect 40 Years After Davison Penned It.” They offer further thoughts on how to measure the phenomenon, where future research is headed, and even whether the effect is real
Share to Stop the Harm: How Social Media Metrics Drive Sharing of Fact-Checking Messages via First-Person Perception
While fact-checking has received much attention as an important tool to address the prevalence of misinformation, how to ensure fact-checking messages spread as far and wide as misinformation remains to be studied. To fill this gap, this study examined when people decide to share fact-checking messages on social media and what psychological mechanisms underlie such a decision. Two experiments revealed that fact-checking messages debunking a viral…
Examining the Role of Distrust in Science and Social Media Use: Effects on Susceptibility to Covid Misperceptions with Panel Data
Trust in scientific actors and institutions in the United States is at an all-time low. At the same time, studies show that people use social media for science information and become increasingly vulnerable to COVID-19-related misinformation. Yet, we do not know whether low levels of trust cause people to turn to social media in the first place. We argue that if people do not trust the scientific information provided by scientists, they are likel…
What's in the black box? How algorithmic knowledge promotes corrective and restrictive actions to counter misinformation in the USA, the UK, South Korea and Mexico
Purpose While there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect. Design/methodolog…
When Health Organization Answers the Question: Differential Effects of Dialogic Messages in Website and Twitter through Social Presence and Psychological Distance
Although there has been a consensus that health organizations should better utilize dialogic capabilities of online platforms, little is known about if the effectiveness of dialogic communication varies across message platforms, and if so, why. An experiment (N = 209) examined how message platforms (i.e., website vs. Twitter) moderate the effect of dialogic messages and uncovered a novel theoretical mechanism underlying such effect. Exposure to d…
Red Media, Blue Media, Trump Briefings, and Covid-19: Examining How Information Sources Predict Risk Preventive Behaviors via Threat and Efficacy
1,106) revealed that those obtaining COVID-19 information from conservative media and Trump briefings were less likely to believe that COVID-19 is a serious threat (perceived threat) and that recommended preventive behaviors are effective and feasible (perceived efficacy). These beliefs, in turn, resulted in their decreased intentions to adopt risk preventative behaviors. In contrast, those who got COVID-19 information from liberal media, health …
Attitudes Towards Physical Education Teachers From a Cross-Cultural Perspective: German and Chilean students’ viewpoints (Actitudes hacia el profesor de Educación Física desde una perspectiva intercul…
El papel del profesor en la generacin de actitudes favorables hacia la Educacin Fsica es esencial, porque su comportamiento influye directamente en la forma en que los estudiantes valoran la asignatura. El propsito de este estudio es analizar las actitudes hacia los profesores de Educacin Fsica desde la perspectiva de los adolescentes alemanes y chilenos. Participaron 2030 estudiantes (1001 chicas y 1029 chicos, M edad = 14.44 1,8). Se utiliz el …
How Can We Fight Partisan Biases in the Covid-19 Pandemic? AI Source Labels on Fact-checking Messages Reduce Motivated Reasoning
Upon a surge of misinformation surrounding COVID-19, fact-checking has received much attention as a tool to fight the rampant misinformation. However, such correction efforts have faced challenges from partisans’ biased information processing. For example, partisans trust or distrust a fact-checking message based on whether the message benefits or harms their supporting party. To minimize such politically biased processing of corrective health in…
Social media regulation, third-person effect, and public views: A comparative study of the United States, the United Kingdom, South Korea, and Mexico
Given the prevalence of misinformation on social media and accompanying negative externalities, platform regulation has become a highly contested public issue globally. This study investigated (a) what global publics think about platform regulation and (b) the psychological mechanisms underlying such opinions through the lens of the third-person effect. Four national surveys, conducted in the United States, the United Kingdom, South Korea, and Me…
Can we blame social media for polarization? Counter-evidence against filter bubble claims during the Covid-19 pandemic
Although collective efforts are essential to fight COVID-19, public opinion in the United States is sharply divided by partisan attitudes and health beliefs. Addressing the concern that media use facilitates polarization, this study investigated whether social and traditional media use for COVID-19 information attenuates or reinforces existing disparities. This article focuses on two important areas where the public is highly polarized: partisan …
When and How User Comments Affect News Readers’ Personal Opinion: Perceived Public Opinion and Perceived News Position as Mediators
Two experiments investigated when and how user comments on news websites affect individuals’ personal opinion. In Study 1 (N = 596), opinion-reinforcing (vs. opinion-challenging) user comments led participants to perceive both (a) public opinion and (b) the news tone to be more congenial to their own position, which induced opinion polarization. When user comments were presented within the news article as direct quotes, however, their influence o…
When I Learn the News is False: How Fact-Checking Information Stems the Spread of Fake News Via Third-Person Perception
While fact-checking has received much attention as a potential tool to combat fake news, whether and how fact-checking information lessens intentions to share fake news on social media remains underexplored. Two experiments uncovered a theoretical mechanism underlying the effect of fact-checking on sharing intentions, and identified an important contextual cue (i.e., social media metrics) that interacts with fact-checking effects. Exposure to fak…
The Role of Contact Richness in Mediated Intergroup Contact: A Test of the Contact Space Framework
Intergroup contact varies in richness of the experience, yet the effect of contact richness has not been systematically examined. This paper experimentally tested whether and how different levels of mediated contact richness—afforded by different forms of media—affect attitudes toward marginalized outgroups (e.g., refugees, migrant workers). Data collected online from an adult sample (N = 510) found that richness of the mediated contact experienc…
Agenda-setting in social TV: How and when user comments influence perceived issue importance
As a combination of television viewing and social media use, social TV epitomizes the intersection of mass communication and interpersonal communication. However, it remains unknown how such a novel format of media experience influences the agenda-setting effects. A lab experiment ( N = 120) examined (a) how user-to-user interactions in social TV (i.e. real-time comments from virtual co-viewers) affect the agenda-setting process and (b) how such …
Full Journal
Geographic Information Systems (GIS) engages with a variety of important policy issues through linking social science data with spatial analysis and by demonstrating the importance of applied GIS in both the public and private sector. GIS, though commonly used in the realms of city planning and natural resource analysis, have a far broader range of applications ranging from analysis of ancient community interactions to modern social media data
How Can We Fight Partisan Biases in the Covid-19 Pandemic? AI Source Labels on Fact-checking Messages Reduce Motivated Reasoning
Upon a surge of misinformation surrounding COVID-19, fact-checking has received much attention as a tool to fight the rampant misinformation. However, such correction efforts have faced challenges from partisans’ biased information processing. For example, partisans trust or distrust a fact-checking message based on whether the message benefits or harms their supporting party. To minimize such politically biased processing of corrective health in…
Can we blame social media for polarization? Counter-evidence against filter bubble claims during the Covid-19 pandemic
Although collective efforts are essential to fight COVID-19, public opinion in the United States is sharply divided by partisan attitudes and health beliefs. Addressing the concern that media use facilitates polarization, this study investigated whether social and traditional media use for COVID-19 information attenuates or reinforces existing disparities. This article focuses on two important areas where the public is highly polarized: partisan …
What's in the black box? How algorithmic knowledge promotes corrective and restrictive actions to counter misinformation in the USA, the UK, South Korea and Mexico
Purpose While there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect. Design/methodolog…
Social media regulation, third-person effect, and public views: A comparative study of the United States, the United Kingdom, South Korea, and Mexico
Given the prevalence of misinformation on social media and accompanying negative externalities, platform regulation has become a highly contested public issue globally. This study investigated (a) what global publics think about platform regulation and (b) the psychological mechanisms underlying such opinions through the lens of the third-person effect. Four national surveys, conducted in the United States, the United Kingdom, South Korea, and Me…
Another Point of View: Scholarly Responses to the State of Third-Person Research
In a series of essays, scholars respond to Perloff and Shen’s article, “The Third-Person Effect 40 Years After Davison Penned It.” They offer further thoughts on how to measure the phenomenon, where future research is headed, and even whether the effect is real
Share to Stop the Harm: How Social Media Metrics Drive Sharing of Fact-Checking Messages via First-Person Perception
While fact-checking has received much attention as an important tool to address the prevalence of misinformation, how to ensure fact-checking messages spread as far and wide as misinformation remains to be studied. To fill this gap, this study examined when people decide to share fact-checking messages on social media and what psychological mechanisms underlie such a decision. Two experiments revealed that fact-checking messages debunking a viral…
Full Journal
Geographic Information Systems (GIS) engages with a variety of important policy issues through linking social science data with spatial analysis and by demonstrating the importance of applied GIS in both the public and private sector. GIS, though commonly used in the realms of city planning and natural resource analysis, have a far broader range of applications ranging from analysis of ancient community interactions to modern social media data
When and How User Comments Affect News Readers’ Personal Opinion: Perceived Public Opinion and Perceived News Position as Mediators
Two experiments investigated when and how user comments on news websites affect individuals’ personal opinion. In Study 1 (N = 596), opinion-reinforcing (vs. opinion-challenging) user comments led participants to perceive both (a) public opinion and (b) the news tone to be more congenial to their own position, which induced opinion polarization. When user comments were presented within the news article as direct quotes, however, their influence o…
When I Learn the News is False: How Fact-Checking Information Stems the Spread of Fake News Via Third-Person Perception
While fact-checking has received much attention as a potential tool to combat fake news, whether and how fact-checking information lessens intentions to share fake news on social media remains underexplored. Two experiments uncovered a theoretical mechanism underlying the effect of fact-checking on sharing intentions, and identified an important contextual cue (i.e., social media metrics) that interacts with fact-checking effects. Exposure to fak…
The Role of Contact Richness in Mediated Intergroup Contact: A Test of the Contact Space Framework
Intergroup contact varies in richness of the experience, yet the effect of contact richness has not been systematically examined. This paper experimentally tested whether and how different levels of mediated contact richness—afforded by different forms of media—affect attitudes toward marginalized outgroups (e.g., refugees, migrant workers). Data collected online from an adult sample (N = 510) found that richness of the mediated contact experienc…
Agenda-setting in social TV: How and when user comments influence perceived issue importance
As a combination of television viewing and social media use, social TV epitomizes the intersection of mass communication and interpersonal communication. However, it remains unknown how such a novel format of media experience influences the agenda-setting effects. A lab experiment ( N = 120) examined (a) how user-to-user interactions in social TV (i.e. real-time comments from virtual co-viewers) affect the agenda-setting process and (b) how such …
When Health Organization Answers the Question: Differential Effects of Dialogic Messages in Website and Twitter through Social Presence and Psychological Distance
Although there has been a consensus that health organizations should better utilize dialogic capabilities of online platforms, little is known about if the effectiveness of dialogic communication varies across message platforms, and if so, why. An experiment (N = 209) examined how message platforms (i.e., website vs. Twitter) moderate the effect of dialogic messages and uncovered a novel theoretical mechanism underlying such effect. Exposure to d…
Red Media, Blue Media, Trump Briefings, and Covid-19: Examining How Information Sources Predict Risk Preventive Behaviors via Threat and Efficacy
1,106) revealed that those obtaining COVID-19 information from conservative media and Trump briefings were less likely to believe that COVID-19 is a serious threat (perceived threat) and that recommended preventive behaviors are effective and feasible (perceived efficacy). These beliefs, in turn, resulted in their decreased intentions to adopt risk preventative behaviors. In contrast, those who got COVID-19 information from liberal media, health …
Attitudes Towards Physical Education Teachers From a Cross-Cultural Perspective: German and Chilean students’ viewpoints (Actitudes hacia el profesor de Educación Física desde una perspectiva intercul…
El papel del profesor en la generacin de actitudes favorables hacia la Educacin Fsica es esencial, porque su comportamiento influye directamente en la forma en que los estudiantes valoran la asignatura. El propsito de este estudio es analizar las actitudes hacia los profesores de Educacin Fsica desde la perspectiva de los adolescentes alemanes y chilenos. Participaron 2030 estudiantes (1001 chicas y 1029 chicos, M edad = 14.44 1,8). Se utiliz el …
How Can We Fight Partisan Biases in the Covid-19 Pandemic? AI Source Labels on Fact-checking Messages Reduce Motivated Reasoning
Upon a surge of misinformation surrounding COVID-19, fact-checking has received much attention as a tool to fight the rampant misinformation. However, such correction efforts have faced challenges from partisans’ biased information processing. For example, partisans trust or distrust a fact-checking message based on whether the message benefits or harms their supporting party. To minimize such politically biased processing of corrective health in…
Social media regulation, third-person effect, and public views: A comparative study of the United States, the United Kingdom, South Korea, and Mexico
Given the prevalence of misinformation on social media and accompanying negative externalities, platform regulation has become a highly contested public issue globally. This study investigated (a) what global publics think about platform regulation and (b) the psychological mechanisms underlying such opinions through the lens of the third-person effect. Four national surveys, conducted in the United States, the United Kingdom, South Korea, and Me…
Can we blame social media for polarization? Counter-evidence against filter bubble claims during the Covid-19 pandemic
Although collective efforts are essential to fight COVID-19, public opinion in the United States is sharply divided by partisan attitudes and health beliefs. Addressing the concern that media use facilitates polarization, this study investigated whether social and traditional media use for COVID-19 information attenuates or reinforces existing disparities. This article focuses on two important areas where the public is highly polarized: partisan …
Another Point of View: Scholarly Responses to the State of Third-Person Research
In a series of essays, scholars respond to Perloff and Shen’s article, “The Third-Person Effect 40 Years After Davison Penned It.” They offer further thoughts on how to measure the phenomenon, where future research is headed, and even whether the effect is real
Share to Stop the Harm: How Social Media Metrics Drive Sharing of Fact-Checking Messages via First-Person Perception
While fact-checking has received much attention as an important tool to address the prevalence of misinformation, how to ensure fact-checking messages spread as far and wide as misinformation remains to be studied. To fill this gap, this study examined when people decide to share fact-checking messages on social media and what psychological mechanisms underlie such a decision. Two experiments revealed that fact-checking messages debunking a viral…
Examining the Role of Distrust in Science and Social Media Use: Effects on Susceptibility to Covid Misperceptions with Panel Data
Trust in scientific actors and institutions in the United States is at an all-time low. At the same time, studies show that people use social media for science information and become increasingly vulnerable to COVID-19-related misinformation. Yet, we do not know whether low levels of trust cause people to turn to social media in the first place. We argue that if people do not trust the scientific information provided by scientists, they are likel…
What's in the black box? How algorithmic knowledge promotes corrective and restrictive actions to counter misinformation in the USA, the UK, South Korea and Mexico
Purpose While there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect. Design/methodolog…
AI as an Apolitical Referee: Using Alternative Sources to Decrease Partisan Biases in the Processing of Fact-Checking Messages
While fact-checking has received much attention as a tool to fight misinformation online, fact-checking efforts have yielded limited success in combating political misinformation due to partisans’ biased information processing. The efficacy of fact-checking often decreases, if not backfires, when the fact-checking messages contradict individual audiences’ political stance. To explore ways to minimize such politically biased processing of fact-che…
Overconfident youth, underconfident elders: Age differences in algorithmic knowledge confidence and information perceptions
Age-related differences in algorithmic knowledge are typically interpreted as competence gaps that render younger “digital natives” better equipped and older users more vulnerable in algorithmically curated environments. This study challenges these assumptions by examining (a) algorithmic knowledge confidence—whether users’ subjective algorithmic knowledge exceeds or falls short of their algorithmic awareness and knowledge—and (b) what consequenc…
Thinking Hard, Thinking Smart: How News Users’ Cognitive Traits Guide Their Responses to Fact-Checks
The efficacy of fact-checks for correcting misbeliefs has been a subject of debate, partially because people tend to assume what is being told is true upon encountering misinformation, which heightens resistance to corrective information they encounter later. The current study examined how the truth bias might affect individuals’ responses to falsifying and verifying fact-checks, and if individuals’ cognitive traits moderate such effects. Overall…
To Disclose or Not to Disclose: How AI Use Transparency Increases Trust in Fact-Checking
I see a double-edged sword: How self-other perceptual gaps predict public attitudes toward ChatGPT regulations and literacy interventions
The double-edged nature of generative artificial intelligence (AI) underscores the importance of understanding complex and paradoxical public views about this emerging technology. Heeding to this call, this study examined how the general public perceives and reacts to Chat GPT and the implications of these perceptions, drawing on the third-person and first-person effect. A national survey in the United States ( N = 1004) revealed that individuals…
Psychology (17 works) · Social Psychology (16 works) · Misinformation and Its Impacts (13 works) · Social Media and Politics (11 works) · Computer Science (10 works) · Social Psychology (10 works) · Political science (8 works) · Social media (8 works) · World Wide Web (8 works) · Hate Speech and Cyberbullying Detection (6 works)