Yu Won Oh
Biographic Data
| ID | 308030 |
|---|---|
| NAME | Yu Won Oh |
| GIVEN NAMES | Yu Won |
| FAMILY NAME | Oh |
| SIGNATURE | OH Y W |
| AFFILIATIONS | Myongji University |
| ORCID | 0000-0001-6258-103X |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 19 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Unmasking Machine Learning With Tensor Decomposition: An Illustrative Example for Media and Communication Researchers
As online communication data continues to grow, manual content analysis, which is frequently employed in media studies within the social sciences, faces challenges in terms of scalability, efficiency, and coding scope. Automated machine learning can address these issues, but it often functions as a black box, offering little insight into the features driving its predictions. This lack of interpretability limits its application in advancing social…
User Perceptions of AI-Based Comment Filtering Technology
As artificial intelligence (AI)-powered technology enables the efficient processing of large volumes of comments, more companies, including news publications, are experimenting with and adopting AI moderation to manage their commenting platforms. However, the resulting user experiences have been largely underexplored in relation to these technical advances in comments section management. This study used an experiment to examine the impact of AI f…
Digital Access, Digital Literacy, and Afterlife Preparedness: Societal Contexts of Digital Afterlife Traces
This study aims to evaluate how individuals are prepared to cope with or plan for their afterlife digital footprints, by examining how (1) access, (2) literacy, and (3) preparedness for digital afterlife work in concert to influence one's wellbeing. We found the indirect relationship between access and wellbeing and the influence of digital literacy on wellbeing was indirect, illustrating that the key to the puzzle is in the sequential step in wh…
Mapping Media Research Paradigms: Journalism & Mass Communication Quarterly ’s Century of Scientific Evolution
This retrospective review of nearly a century of publications in Journalism and Mass Communication Quarterly (JMCQ) traces the maturation of media studies toward a scientific discipline. The field’s dominant paradigms—media effects and communicator uses—persist, adapt, and diversify over time, yielding actionable insights. Challenges include (a) bridging older and newer media theories, (b) harnessing data science, and (c) capitalizing on artifici…
Serving the Greater Social Good for Personal Gain: Effects of Polite Disagreements in Online Debates
Asynchronous, anonymous online debaters might be less likely than face-to-face debaters to value their public self-image ( face), and thus disagree more freely. In this study, we examined whether polite disagreements (as opposed to rude ones) help online debaters win over audience members. An analysis of the most voted-on 100 political debates on Debate.org (200 debaters; 1,750 voters; 472,652 words) showed that debate initiators who used politer…
Election Fraud and Misinformation on Twitter: Author, Cluster, and Message Antecedents
This study determined the antecedents of diffusion scope (total audience), speed (number of adopters/time), and shape (broadcast vs. person-to-person transmission) for true vs. fake news about a falsely claimed stolen 2020 US Presidential election across clusters of users that responded to one another’s tweets (“user clusters”). We examined 31,128 tweets with links to fake vs. true news by 20,179 users to identify 1,069 user clusters via clusteri…
Digital assistants: Inequalities and social context of access, use, and perceptual understanding
Effects of smartphones on economic and subjective quality of life
Popular characterizations of smartphones presume the benefits of their use. To test this, we used a national survey data (n = 1,261) and examined smartphone effects on economic and subjective quality of life. Preliminary analyses revealed significant associations between smartphone use and earnings as well as quality of life. Two-stage least square models, however, suggested that those associations are potentially endogenous, or can be better rec…
Machine Cleaning of Online Opinion Spam: Developing a Machine-Learning Algorithm for Detecting Deceptive Comments
Humans are not very good at detecting deception. The problem is that there is currently no other particular way to distinguish fake opinions in a comments section than by resorting to poor human judgments. For years, most scholarly and industrial efforts have been directed at detecting fake consumer reviews of products or services. A technique for identifying deceptive opinions on social issues is largely underexplored and undeveloped. Inspired b…
How Fake News Differs From Personal Lies
Personal lies (girl on date lying to dad) and fake news ( Obama Bans Pledge of Allegiance) both deceive but in different ways, so they require different detection methods. People in long-term relationships try to tell undetectable lies to encourage, often, audience inaction. In contrast, unattached fake news welcome attention and try to ignite audience action. Thus, they differ in six ways: (a) speaker-audience relationship, (b) goal, (c) emotion…
Who Expresses Opinions in a Hostile Online Forum Environment and When
This study examines the issue of who tends to speak out against the tide of opinions on an online discussion forum and which forum conditions facilitate an individual’s public expression of honest opinions. In response to the call for experimental research, this study employed simulated online forums to place participants in multifaceted hostile online discussion situations. The findings indicate that an individual’s race, issue involvement, issu…
Getting attention online in election coverage: Audience selectivity in the 2012 US presidential election
This study investigates how citizens select election news online. Voluntary national samples ( n = 372) browsed a news website featuring four types of election news (horserace, candidates’ issue positions, campaign trails, and voters). Their online activities, including article selection and the length of exposure, were unobtrusively measured by behavior tracking software. The results revealed that participants tended to choose issue-based electi…
Machine Cleaning of Online Opinion Spam: Developing a Machine-Learning Algorithm for Detecting Deceptive Comments
Humans are not very good at detecting deception. The problem is that there is currently no other particular way to distinguish fake opinions in a comments section than by resorting to poor human judgments. For years, most scholarly and industrial efforts have been directed at detecting fake consumer reviews of products or services. A technique for identifying deceptive opinions on social issues is largely underexplored and undeveloped. Inspired b…
Getting attention online in election coverage: Audience selectivity in the 2012 US presidential election
This study investigates how citizens select election news online. Voluntary national samples ( n = 372) browsed a news website featuring four types of election news (horserace, candidates’ issue positions, campaign trails, and voters). Their online activities, including article selection and the length of exposure, were unobtrusively measured by behavior tracking software. The results revealed that participants tended to choose issue-based electi…
How Fake News Differs From Personal Lies
Personal lies (girl on date lying to dad) and fake news ( Obama Bans Pledge of Allegiance) both deceive but in different ways, so they require different detection methods. People in long-term relationships try to tell undetectable lies to encourage, often, audience inaction. In contrast, unattached fake news welcome attention and try to ignite audience action. Thus, they differ in six ways: (a) speaker-audience relationship, (b) goal, (c) emotion…
User Perceptions of AI-Based Comment Filtering Technology
As artificial intelligence (AI)-powered technology enables the efficient processing of large volumes of comments, more companies, including news publications, are experimenting with and adopting AI moderation to manage their commenting platforms. However, the resulting user experiences have been largely underexplored in relation to these technical advances in comments section management. This study used an experiment to examine the impact of AI f…
Digital assistants: Inequalities and social context of access, use, and perceptual understanding
Who Expresses Opinions in a Hostile Online Forum Environment and When
This study examines the issue of who tends to speak out against the tide of opinions on an online discussion forum and which forum conditions facilitate an individual’s public expression of honest opinions. In response to the call for experimental research, this study employed simulated online forums to place participants in multifaceted hostile online discussion situations. The findings indicate that an individual’s race, issue involvement, issu…
Getting attention online in election coverage: Audience selectivity in the 2012 US presidential election
This study investigates how citizens select election news online. Voluntary national samples ( n = 372) browsed a news website featuring four types of election news (horserace, candidates’ issue positions, campaign trails, and voters). Their online activities, including article selection and the length of exposure, were unobtrusively measured by behavior tracking software. The results revealed that participants tended to choose issue-based electi…
Who Expresses Opinions in a Hostile Online Forum Environment and When
This study examines the issue of who tends to speak out against the tide of opinions on an online discussion forum and which forum conditions facilitate an individual’s public expression of honest opinions. In response to the call for experimental research, this study employed simulated online forums to place participants in multifaceted hostile online discussion situations. The findings indicate that an individual’s race, issue involvement, issu…
Effects of smartphones on economic and subjective quality of life
Popular characterizations of smartphones presume the benefits of their use. To test this, we used a national survey data (n = 1,261) and examined smartphone effects on economic and subjective quality of life. Preliminary analyses revealed significant associations between smartphone use and earnings as well as quality of life. Two-stage least square models, however, suggested that those associations are potentially endogenous, or can be better rec…
Machine Cleaning of Online Opinion Spam: Developing a Machine-Learning Algorithm for Detecting Deceptive Comments
Humans are not very good at detecting deception. The problem is that there is currently no other particular way to distinguish fake opinions in a comments section than by resorting to poor human judgments. For years, most scholarly and industrial efforts have been directed at detecting fake consumer reviews of products or services. A technique for identifying deceptive opinions on social issues is largely underexplored and undeveloped. Inspired b…
How Fake News Differs From Personal Lies
Personal lies (girl on date lying to dad) and fake news ( Obama Bans Pledge of Allegiance) both deceive but in different ways, so they require different detection methods. People in long-term relationships try to tell undetectable lies to encourage, often, audience inaction. In contrast, unattached fake news welcome attention and try to ignite audience action. Thus, they differ in six ways: (a) speaker-audience relationship, (b) goal, (c) emotion…
Serving the Greater Social Good for Personal Gain: Effects of Polite Disagreements in Online Debates
Asynchronous, anonymous online debaters might be less likely than face-to-face debaters to value their public self-image ( face), and thus disagree more freely. In this study, we examined whether polite disagreements (as opposed to rude ones) help online debaters win over audience members. An analysis of the most voted-on 100 political debates on Debate.org (200 debaters; 1,750 voters; 472,652 words) showed that debate initiators who used politer…
Election Fraud and Misinformation on Twitter: Author, Cluster, and Message Antecedents
This study determined the antecedents of diffusion scope (total audience), speed (number of adopters/time), and shape (broadcast vs. person-to-person transmission) for true vs. fake news about a falsely claimed stolen 2020 US Presidential election across clusters of users that responded to one another’s tweets (“user clusters”). We examined 31,128 tweets with links to fake vs. true news by 20,179 users to identify 1,069 user clusters via clusteri…
Digital assistants: Inequalities and social context of access, use, and perceptual understanding
Mapping Media Research Paradigms: Journalism & Mass Communication Quarterly ’s Century of Scientific Evolution
This retrospective review of nearly a century of publications in Journalism and Mass Communication Quarterly (JMCQ) traces the maturation of media studies toward a scientific discipline. The field’s dominant paradigms—media effects and communicator uses—persist, adapt, and diversify over time, yielding actionable insights. Challenges include (a) bridging older and newer media theories, (b) harnessing data science, and (c) capitalizing on artifici…
User Perceptions of AI-Based Comment Filtering Technology
As artificial intelligence (AI)-powered technology enables the efficient processing of large volumes of comments, more companies, including news publications, are experimenting with and adopting AI moderation to manage their commenting platforms. However, the resulting user experiences have been largely underexplored in relation to these technical advances in comments section management. This study used an experiment to examine the impact of AI f…
Digital Access, Digital Literacy, and Afterlife Preparedness: Societal Contexts of Digital Afterlife Traces
This study aims to evaluate how individuals are prepared to cope with or plan for their afterlife digital footprints, by examining how (1) access, (2) literacy, and (3) preparedness for digital afterlife work in concert to influence one's wellbeing. We found the indirect relationship between access and wellbeing and the influence of digital literacy on wellbeing was indirect, illustrating that the key to the puzzle is in the sequential step in wh…
Unmasking Machine Learning With Tensor Decomposition: An Illustrative Example for Media and Communication Researchers
As online communication data continues to grow, manual content analysis, which is frequently employed in media studies within the social sciences, faces challenges in terms of scalability, efficiency, and coding scope. Automated machine learning can address these issues, but it often functions as a black box, offering little insight into the features driving its predictions. This lack of interpretability limits its application in advancing social…
Computer Science (12 works) · Psychology (9 works) · Internet privacy (7 works) · Political science (7 works) · Sociology (7 works) · Hate Speech and Cyberbullying Detection (6 works) · Social Media and Politics (5 works) · Social Psychology (5 works) · Artificial Intelligence (4 works) · Business (4 works)