Sundar

Dados Biográficos

ID52118
NOMESundar
SOBRENOMESundar
ASSINATURASUNDAR
AFILIAÇÕESPennsylvania State University
ORCID0000-0002-5779-8864
VERIFICADOSim
TOTAL DE OBRAS83
TOTAL DE CITAÇÕES306
TOTAL COMO AUTOR83
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO1998
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H10

  • When an AI Says It Is False

    Open AccessMengqi Liao, Sian Lee et al.ARTICLEMedia Psychology2026

    To combat misinformation at scale, automated fact-checkers are being deployed, but we do not know if lay users trust them. Are AI fact-checkers trusted more than human fact-checkers because of their accuracy in identifying tell-tale features of fake news? Or are they trusted less because they are seen as lacking the subjectivity necessary for corroborating evidence? A pre-registered 2 (Fact-checking source: Human vs. AI) × 3 (Fact-checking approa…

  • When AI Disagrees

    Open AccessCheng Chen, Yuan Sun et al.ARTICLEInternational Journal of…2026

  • Does transparency matter when an AI system meets performance expectations? An experiment with an online dating site

    Open AccessYuan Sun, Mengqi Liao et al.ARTICLEComputers in Human Behavior2026

  • When We Think “News Will Find Me”

    Open AccessMengqi Liao, Yuan Sun et al.ARTICLESocial Media + Society2026Referências: 23

    Many individuals do not seek news, believing instead that “news will find me” (NFM), implying that they trust their social networks to keep them informed, saving them the trouble of proactively seeking news from journalistic outlets. Does this mean that they trust social media algorithms to accurately filter and recommend content that is relevant to them? Do they trust their friends to keep them informed, just like they would journalists? To answ…

  • County Partisanship Affects Social Media Posting Behavior During a Pandemic

    Open AccessM D Smith, M Luke Smith et al.ARTICLESocial Media + Society2026Referências: 6

    The COVID-19 pandemic in the United States has been characterized by political partisan differences and opinions that influenced individual behavior and political policies, correlating with varying outcomes. Measuring these differences in opinion using traditional methods, such as opinion polls, can be costly and provides only a snapshot of sentiment at a given time. Social media platforms like X (formerly Twitter) may offer a real-time tool for …

  • Close to you

    Open AccessYansheng Liu, Jingshi Kang et al.ARTICLENew Media & Society2026Referências: 38

    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…

  • Racial Bias in AI Training Data

    Cheng Chen, Eunchae Jang et al.ARTICLEMedia Psychology2025

    Given that the nature of training data is the primary cause of algorithmic bias, do laypersons realize that systematic misrepresentation and under-representation of certain races in the training data can affect AI performance in a way that privileges some races over others? To answer this question, we conducted three between-subjects online experiments (N = 769 in total) with a prototype of an AI system that recognizes emotion-based facial expres…

  • From Live Streamer to Influencer

    Sangwook Lee, Sundar et al.ARTICLEMedia Psychology2025

    Live streaming platforms have enabled ordinary people to become sources of information online, with some of them attracting legions of viewers and commanding an audience that surpasses traditional media sources in size. What makes these live streamers achieve credibility? We examined three predictors: their expertise, their level of interaction with viewers, and sponsorship status. These were conceptualized with the aid of the Modality-Agency-Int…

  • Privacy concerns in mobile technology

    Open AccessYongnam Jung, Jiaqi Agnes Bao et al.ARTICLEComputers in Human Behavior2025

  • Impression Formation Effects of Message Interactivity on the Relationship Between Organizations and Their Publics

    Xue Dou, SundarARTICLEJournal of Media Psychology…2025

    As organizations develop strategies to leverage the power of interactive media for cultivating relationships with their publics, there has been an increasing emphasis on message interactivity, that is, having threaded conversations with individual stakeholders. This can be quite resource intensive in that it involves not only one-time responses to individual questions, but exchanging a series of messages that are contingent upon preceding message…

  • Vivid and Engaging

    Haiyan Jia, SundarARTICLEDigital Journalism2024

    With the rising availability and volume of data, journalists are finding ways to integrate data-rich information into news content and make them accessible to everyday news readers by accompanying them with exemplifying cases. However, these exemplars do not always fully capture the complexity of the data patterns, leading to significant biases in readers’ issue perceptions. Drawing on the theoretical frameworks of exemplification theory and inte…

  • Preventing users from going down rabbit holes of extreme video content

    Open AccessCheng Chen, Jingshi Kang et al.ARTICLEInternational Journal of…2024

  • Interpassivity instead of interactivity? The uses and gratifications of automated features

    Cheng Chen, Sangwook Lee et al.ARTICLEBehaviour and Information…2024

    The popularity of automated features, such as autocorrect, reflects an interesting paradox in digital media use: while users appreciate the interactivity afforded by these media, they also seem to enjoy passively observing the system perform the interaction on their behalf. We aim to understand this paradox by using the concept of interpassivity and exploring the primary gratifications users seek in automated features. Following the research meth…

  • When an AI Doctor Gets Personal

    Open AccessCheng Chen, Mengqi Liao et al.ARTICLECommunication Research2024

    How do we know when someone knows us? Does it matter whether the knower is a human or a machine? Following the theory of interpersonal knowledge, a between-subjects experiment investigated whether a doctor’s incorporation of individualized knowledge about a patient’s social or medical history enhances doctor-patient relationships in online conversations. Patients in this study conversed with either a human doctor, an AI doctor, or an AI-assisted …

  • Communicating and combating algorithmic bias

    Cheng Chen, SundarARTICLEHuman-Computer Interaction2024

  • Machine heuristic

    Open AccessHyun Yang, Sundar et al.ARTICLEJournal of Computer-Mediated…2024Citada por: 5Referências: 9

    Human assumption of superior performance by machines has a long history, resulting in the concept of “machine heuristic” (MH), which is a mental shortcut that individuals apply to automated systems. This article provides a formal explication of this concept and develops a new scale based on three studies (Combined N = 1129). Measurement items were derived from the explication and an open-ended survey (Study 1, N = 270). These were then administer…

  • How Does VR Affect Emotional Appeal and Persuasiveness of Gain Versus Loss-Framed Messages

    Open AccessMengqi Liao, Pejman Sajjadi et al.ARTICLEScience Communication2024Referências: 8

    Can virtual reality (VR) lead to more desirable persuasion effects than videos in communicating the science of contentious issues like climate change? And, will these effects differ between messages that offer hope versus fear? We addressed these questions with a 2 (Modality: Desktop VR vs. Unidirectional video) × 2 (framing: Gain vs. Loss) between-subjects experiment ( N = 130), and found that VR triggered more fearful responses, which in turn l…

  • Sharing without clicking on news in social media

    Open AccessSundar, Eugene Cho Snyder et al.ARTICLENature Human Behaviour2024Referências: 47

  • Can Social Media Engagement Predict Election Results? Bandwagon Effects of Tweets About US Senate Candidates

    Open AccessJinping Wang, Sundar et al.ARTICLESocial Media + Society2024Referências: 37

    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…

  • Busting the one-voice-fits-all myth

    Open AccessEugene Cho Snyder, Sanjana Mendu et al.ARTICLEInternational Journal of…2023

  • When the machine learns from users, is it helping or snooping

    Open AccessSangwook Lee, Won-Ki Moon et al.ARTICLEComputers in Human Behavior2023

  • Reading, Commenting and Sharing of Fake News

    Open AccessMaria D Molina, Jinping Wang et al.ARTICLECommunication Research2023

    Do social media users read, comment, and share false news more than real news? Does it matter if the story is written by a bot and whether it is endorsed by many others? We conducted a selective-exposure experiment ( N = 171) to answer these questions. Results showed that real articles were more likely to receive “likes” whereas false articles were more likely to receive comments. Users commented more on a bot-written article when it received few…

  • Screenertia

    Open AccessMiriam Brinberg, Nilam Ram et al.ARTICLECommunication Research2023

    Descriptions of moment-by-moment changes in attention contribute critical elements to theory and practice about how people process media. We introduce a new concept called screenertia and use new screen-capture methodology to empirically evaluate its occurrence. We unobtrusively obtained 400,000+ screenshots of 30 participants’ laptop screens every 5 seconds for 4 days to examine individuals’ attention to their screens and how the distribution of…

  • Less vigilant in the mobile era? A comparison of information processing on mobile phones and personal computers

    Open AccessMengqi Liao, Jinping Wang et al.ARTICLENew Media & Society2023Citada por: 1Referências: 4

    Do people process information differently on mobile phones compared to computers? We investigate this question by conducting two online field experiments. We randomly assigned participants to use their mobile phones or personal computers (PCs) to process different kinds of information. Study 1 ( N = 116) discovered that participants using mobile phones process emails more efficiently (i.e., spend less time) than those using PCs. Study 2 ( N = 241…

  • Can Interactive Media Attenuate Psychological Reactance to Health Messages? A Study of the Role Played by User Commenting and Audience Metrics in Persuasion

    Ruobing Li, SundarARTICLEHealth Communication2022

    Health advocacy messages can generate psychological reactance and lead to message rejection. Could we offset this negative outcome by providing more agency and interactivity to message receivers? Are individuals more likely to be receptive if health campaigns provided them an opportunity to comment on the advocacy messages? Will they be more likely to follow the advocated behavior if a lot of other receivers have expressed approval of those messa…