hyam Sundar
Biographic Data
| ID | 3621294 |
|---|---|
| NAME | hyam Sundar |
| GIVEN NAMES | hyam |
| FAMILY NAME | Sundar |
| SIGNATURE | SUNDAR H |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 105 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Close to you
In 2022, the Chinese government implemented a policy requiring social media platforms to display approximate user location (province/municipality in China or country if abroad) on their posts, thus making location a visible cue. How does this cue affect readers’ perceptions of the source and content of the post? To investigate this, we conducted a four-condition (user location: Beijing vs. Guizhou vs. the United States vs. no location) between-su…
Can Social Media Engagement Predict Election Results? Bandwagon Effects of Tweets About US Senate Candidates
The social media platform X (formerly Twitter) has grown to become an important venue for political discourse, with candidates using it integrally in their election campaigns. However, it is not clear if activity on Twitter can be used to forecast elections, given conflicting findings in the literature. By analyzing 830,796 tweets mentioning key hashtags related to nine US senate races in 2014, 2016, and 2018, we demonstrate that cascades in volu…
Differentiating Problematic from Habitual Instagram Use
The popularity of Instagram among young adults has raised concerns about the excessive use of Instagram. Is it the kind of problematic media use that takes over one's life or just habitual ritualized use characterized by mindless scrolling? How can we differentiate between the two based on the use of Instagram features and perceived gratifications from the technology itself? Drawing on the theoretical framework of Uses and Gratifications (U&G) an…
"Fake News" Is Not Simply False Information
As the scourge of "fake news" continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging "fake news," we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of …
Talking Health With a Machine
By affording interactive communication and natural, human-like conversations, can media tools affect the way we engage with content in human–machine interactions and influence our attitudes toward that content? A between-subjects experiment (N = 172) examined the effects of two communication variables: (a) message-interactivity and (b) conversational tone, in an online health information (Q&A) tool. Findings suggest that informal conversational t…
Why Do We Pin? New Gratifications Explain Unique Activities in Pinterest
Pinterest is now the fourth most popular social network site after Facebook, Twitter, and LinkedIn in the United States, offering its own suite of functions. This study investigated why individuals use specific features of Pinterest such as pinning, creating, liking, following, commenting, inviting, sharing, checking, searching, and browsing different categories. An online survey ( N = 113) revealed that a brand new set of gratifications (specifi…
Mobile Persuasion
Guided by the Modality, Agency, Interactivity, and Navigability (MAIN) model of technology effects and the heuristic–systematic model (HSM) of information processing, this study explicates underlying mechanisms by which variations in screen size (large vs. small) and presentation mode (video vs. text) contribute to user perceptions of media content on their smartphones. Results from a between-subjects experiment (N = 120) indicate that large scre…
Personalization versus Customization
Journal Article Personalization versus Customization: the Importance of Agency, Privacy, and Power Usage Get access S. Shyam Sundar, S. Shyam Sundar 1Media Effects Research Laboratory, College of Communications, The Pennsylvania State University, University Park, PA 16802, USA2Department of Interaction Science, Sungkyunkwan University, Seoul, Republic of Korea 1Corresponding author: S. Shyam Sundar; Search for other works by this author on: Oxfor…
Heuristic Versus Systematic Processing of Specialist Versus Generalist Sources in Online Media
Journal Article Heuristic Versus Systematic Processing of Specialist Versus Generalist Sources in Online Media Get access Yoon Jeon Koh, Yoon Jeon Koh 1Economics & Management Research Lab, KT, Seongnam-si, Gyeonggi-do, Republic of Korea 1Corresponding author: Yoon Jeon Koh; Search for other works by this author on: Oxford Academic Google Scholar S. Shyam Sundar S. Shyam Sundar 2Media Effects Research Laboratory, College of Communications, Pennsyl…
Personalization versus Customization
Journal Article Personalization versus Customization: the Importance of Agency, Privacy, and Power Usage Get access S. Shyam Sundar, S. Shyam Sundar 1Media Effects Research Laboratory, College of Communications, The Pennsylvania State University, University Park, PA 16802, USA2Department of Interaction Science, Sungkyunkwan University, Seoul, Republic of Korea 1Corresponding author: S. Shyam Sundar; Search for other works by this author on: Oxfor…
Mobile Persuasion
Guided by the Modality, Agency, Interactivity, and Navigability (MAIN) model of technology effects and the heuristic–systematic model (HSM) of information processing, this study explicates underlying mechanisms by which variations in screen size (large vs. small) and presentation mode (video vs. text) contribute to user perceptions of media content on their smartphones. Results from a between-subjects experiment (N = 120) indicate that large scre…
"Fake News" Is Not Simply False Information
As the scourge of "fake news" continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging "fake news," we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of …
Heuristic Versus Systematic Processing of Specialist Versus Generalist Sources in Online Media
Journal Article Heuristic Versus Systematic Processing of Specialist Versus Generalist Sources in Online Media Get access Yoon Jeon Koh, Yoon Jeon Koh 1Economics & Management Research Lab, KT, Seongnam-si, Gyeonggi-do, Republic of Korea 1Corresponding author: Yoon Jeon Koh; Search for other works by this author on: Oxford Academic Google Scholar S. Shyam Sundar S. Shyam Sundar 2Media Effects Research Laboratory, College of Communications, Pennsyl…
Talking Health With a Machine
By affording interactive communication and natural, human-like conversations, can media tools affect the way we engage with content in human–machine interactions and influence our attitudes toward that content? A between-subjects experiment (N = 172) examined the effects of two communication variables: (a) message-interactivity and (b) conversational tone, in an online health information (Q&A) tool. Findings suggest that informal conversational t…
Differentiating Problematic from Habitual Instagram Use
The popularity of Instagram among young adults has raised concerns about the excessive use of Instagram. Is it the kind of problematic media use that takes over one's life or just habitual ritualized use characterized by mindless scrolling? How can we differentiate between the two based on the use of Instagram features and perceived gratifications from the technology itself? Drawing on the theoretical framework of Uses and Gratifications (U&G) an…
Why Do We Pin? New Gratifications Explain Unique Activities in Pinterest
Pinterest is now the fourth most popular social network site after Facebook, Twitter, and LinkedIn in the United States, offering its own suite of functions. This study investigated why individuals use specific features of Pinterest such as pinning, creating, liking, following, commenting, inviting, sharing, checking, searching, and browsing different categories. An online survey ( N = 113) revealed that a brand new set of gratifications (specifi…
Personalization versus Customization
Journal Article Personalization versus Customization: the Importance of Agency, Privacy, and Power Usage Get access S. Shyam Sundar, S. Shyam Sundar 1Media Effects Research Laboratory, College of Communications, The Pennsylvania State University, University Park, PA 16802, USA2Department of Interaction Science, Sungkyunkwan University, Seoul, Republic of Korea 1Corresponding author: S. Shyam Sundar; Search for other works by this author on: Oxfor…
Heuristic Versus Systematic Processing of Specialist Versus Generalist Sources in Online Media
Journal Article Heuristic Versus Systematic Processing of Specialist Versus Generalist Sources in Online Media Get access Yoon Jeon Koh, Yoon Jeon Koh 1Economics & Management Research Lab, KT, Seongnam-si, Gyeonggi-do, Republic of Korea 1Corresponding author: Yoon Jeon Koh; Search for other works by this author on: Oxford Academic Google Scholar S. Shyam Sundar S. Shyam Sundar 2Media Effects Research Laboratory, College of Communications, Pennsyl…
Why Do We Pin? New Gratifications Explain Unique Activities in Pinterest
Pinterest is now the fourth most popular social network site after Facebook, Twitter, and LinkedIn in the United States, offering its own suite of functions. This study investigated why individuals use specific features of Pinterest such as pinning, creating, liking, following, commenting, inviting, sharing, checking, searching, and browsing different categories. An online survey ( N = 113) revealed that a brand new set of gratifications (specifi…
Mobile Persuasion
Guided by the Modality, Agency, Interactivity, and Navigability (MAIN) model of technology effects and the heuristic–systematic model (HSM) of information processing, this study explicates underlying mechanisms by which variations in screen size (large vs. small) and presentation mode (video vs. text) contribute to user perceptions of media content on their smartphones. Results from a between-subjects experiment (N = 120) indicate that large scre…
Talking Health With a Machine
By affording interactive communication and natural, human-like conversations, can media tools affect the way we engage with content in human–machine interactions and influence our attitudes toward that content? A between-subjects experiment (N = 172) examined the effects of two communication variables: (a) message-interactivity and (b) conversational tone, in an online health information (Q&A) tool. Findings suggest that informal conversational t…
"Fake News" Is Not Simply False Information
As the scourge of "fake news" continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging "fake news," we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of …
Differentiating Problematic from Habitual Instagram Use
The popularity of Instagram among young adults has raised concerns about the excessive use of Instagram. Is it the kind of problematic media use that takes over one's life or just habitual ritualized use characterized by mindless scrolling? How can we differentiate between the two based on the use of Instagram features and perceived gratifications from the technology itself? Drawing on the theoretical framework of Uses and Gratifications (U&G) an…
Can Social Media Engagement Predict Election Results? Bandwagon Effects of Tweets About US Senate Candidates
The social media platform X (formerly Twitter) has grown to become an important venue for political discourse, with candidates using it integrally in their election campaigns. However, it is not clear if activity on Twitter can be used to forecast elections, given conflicting findings in the literature. By analyzing 830,796 tweets mentioning key hashtags related to nine US senate races in 2014, 2016, and 2018, we demonstrate that cascades in volu…
Close to you
In 2022, the Chinese government implemented a policy requiring social media platforms to display approximate user location (province/municipality in China or country if abroad) on their posts, thus making location a visible cue. How does this cue affect readers’ perceptions of the source and content of the post? To investigate this, we conducted a four-condition (user location: Beijing vs. Guizhou vs. the United States vs. no location) between-su…
Computer Science (8 works) · Impact of Technology on Adolescents (6 works) · Psychology (6 works) · Digital Marketing and Social Media (5 works) · Social media (5 works) · Social Media and Politics (4 works) · Social Psychology (4 works) · World Wide Web (4 works) · Artificial Intelligence (3 works) · Sociology (3 works)