M Jones-Jang
Datos Biográficos
| ID | 2055883 |
|---|---|
| NOMBRE | M Jones-Jang |
| NOMBRES | M |
| APELLIDO | Jones-Jang |
| FIRMA | JONES-JANG M |
| AFILIACIONES | Boston College |
| ORCID | 0000-0003-3935-7421 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 40 |
| TOTAL DE CITAS | 232 |
| TOTAL COMO AUTOR | 40 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2012 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 8 |
AI fear of missing out (AI Fomo)
Fear of missing out (FOMO) is known to drive engagement. But does this apply to AI FOMO, the fear of falling behind with artificial intelligence (AI)? This commentary argues that it does not. Many people feel this fear intensely yet still do not act. Unlike social media FOMO, where fear is quickly discharged through participation, AI FOMO produces desire without action, a paralysis rooted in the asymmetry between perceiving AI as indispensable (h…
The Irony of Sophisticated Citizens and Misinformation
Although prior studies demonstrate that less politically sophisticated citizens tend to fall for “fake news,” it is less clear how high need for cognition citizens who enjoy effortful thinking are influenced by misinformation. To address this gap, the current study analyzes data from a two-wave panel survey collected before and after the 2020 presidential election in the U.S. Our model explains (a) how social media news use increases political cy…
Misinformation exposure per se may not trigger cynicism, but perceived prevalence of misinformation and hostile information does
To Disclose or Not to Disclose
I see a double-edged sword
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…
Reinforcing Cycles? Empirical Reflections on the Relationship Between Media Cynicism and Political Cynicism
AI as an Apolitical Referee
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…
Why Do People Underestimate Polling Effects? Examining the Gap Between Actual and Perceived Polling Effects
Two major challenges have limited the advance of our knowledge about people's bias in perceived polling effects compared with actual polling effects. The first challenge comes from a methodological difficulty in measuring the gap between perceived and actual polling effects. Second, two contradicting polling effects (i.e. bandwagon and underdog effect) cancel out each other at the aggregate level, making reported findings shrink. Addressing these…
Surveillance, security, and AI as technological acceptance
Examining the Role of Distrust in Science and Social Media Use
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…
Red Media, Blue Media, Trump Briefings, and Covid-19
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 …
The Politicization of Health and Science
One critical lesson learned from public opinion research about climate change is that the cost of politicization is disastrous. Although the literature has shown the dire consequences of politicized science issues, few have examined how such politicization is possibly triggered by political leaders in a seemingly nonpartisan science topic. Using two experiments (total n = 1,249), this article demonstrates how political cues over scientific expert…
Covid-19 vaccine perceptions in the initial phases of US vaccine roll-out
Our findings can inform the development of interventions where individuals determine the accuracy of vaccine information, and communications campaigns to improve COVID-19 vaccine perceptions, early in the vaccine timeline. Such efforts can increase individual- and population-level awareness of accurate and scientifically sound information regarding vaccines and thereby improve attitudes about vaccines, especially in the early phases of vaccine ro…
Candidate Evaluations and Social Media Following during the 2020 Presidential Campaign
This study investigates the relationship between presidential candidate evaluations and following the candidates on five social media (SM) platforms: Facebook, Twitter, Instagram, Snapchat, and YouTube. Analyses of national survey data collected during the 2020 presidential campaign (N = 2,120) suggest that following a candidate on SM is positively associated with feelings toward that candidate, even after gender, age, race, education, party iden…
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…
Cynical Nonpartisans
The literature on misinformation has not provided sufficient empirical evidence concerning its political consequences. To amend this trend, this study examines how widespread misinformation on social media elevates political cynicism, which has peaked over the past decade in the United States. Using two-wave survey data collected both before and after the 2020 US presidential election, we present evidence that social media use triggers political …
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 …
How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability
AI can make mistakes and cause unfavorable consequences. It is important to know how people react to such AI-driven negative consequences and subsequently evaluate the fairness of AI’s decisions. This study theorizes and empirically tests two psychological mechanisms that explain the process: (a) heuristic expectations of AI’s consistent performance (automation bias) and subsequent frustration of unfulfilled expectations (algorithmic aversion) an…
Digital assistants
Why Do People Share Political Information on Social Media
This study investigates factors predicting political information sharing on social media in the election context. Specifically, the current study examines how users’ six motivations for political information sharing and exposure to political disagreement on social media predict their political information sharing behaviors. Analyses of national survey data collected before the 2018 U.S. midterm election suggest that criticism, informing, and soci…
Unfriending and Muting During Elections
Although selective avoidance, commonly practiced as unfriending and muting on social media, has been assumed to be at odds with the democratic ideal of deliberation, academic literature says little about its antecedents and consequences. Drawing from the framework of psychological needs for information processing, we examine whether need for cognition and need to evaluate interact to predict selective avoidance, which then facilitates political e…
Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don't
Concerns over fake news have triggered a renewed interest in various forms of media literacy. Prevailing expectations posit that literacy interventions help audiences to be "inoculated" against any harmful effects of misleading information. This study empirically investigates such assumptions by assessing whether individuals with greater literacy (media, information, news, and digital literacies) are better at recognizing fake news, and which of …
Perceptions of mis- or disinformation exposure predict political cynicism
Despite a fast-growing body of literature on fake news and mis-/disinformation, there remains surprisingly little empirical work on the social/political consequences of exposure to false information. Addressing this issue, this study provides initial evidence that perceptions of false information exposure catalyze political cynicism. The findings from a two-wave panel survey during the 2018 US midterm elections reveal that perceptions of false in…
Good News! Communication Findings May be Underestimated
Despite long-standing concerns over self-reported measures of media use, media research has relied heavily on self-reported data. This study not only examined discrepancies between survey and logged smartphone data but assessed whether correlational outcomes using self-reported measures produce greater or smaller effect sizes compared to outcomes using logged measures. College students (n = 294) and MTurk workers (n = 291) provided self-reported …
Divide in Ferguson
We examine the patterns of social polarization, with the case of Michael Brown shooting as an empirical basis for discussing the role of social media in promoting polarized viewpoints. In doing so, we test a model that synthesizes the interplay between text polarity in Twitter and four attributes of U.S. cities ( N = 216): (1) geographic location, (2) race, (3) poverty, and (4) technological condition. Our findings supported hypothesized function…
Polarized frames on “climate change” and “global warming” across countries and states
Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don't
Concerns over fake news have triggered a renewed interest in various forms of media literacy. Prevailing expectations posit that literacy interventions help audiences to be "inoculated" against any harmful effects of misleading information. This study empirically investigates such assumptions by assessing whether individuals with greater literacy (media, information, news, and digital literacies) are better at recognizing fake news, and which of …
The Dynamics of Issue Frame Competition in Traditional and Social Media
This study examines the dynamics of the framing of mass shooting incidences in the U.S. occurring in the traditional commercial online news media and Twitter. We demonstrate that there is a dynamic, reciprocal relationship between the attention paid to different aspects of mass shootings in online news and in Twitter: tweets tend to be responsive to traditional media reporting, but traditional media framing of these incidents also seems to resona…
Perceptions of mis- or disinformation exposure predict political cynicism
Despite a fast-growing body of literature on fake news and mis-/disinformation, there remains surprisingly little empirical work on the social/political consequences of exposure to false information. Addressing this issue, this study provides initial evidence that perceptions of false information exposure catalyze political cynicism. The findings from a two-wave panel survey during the 2018 US midterm elections reveal that perceptions of false in…
Challenges to Selective Exposure
The present research investigated selective exposure online, treating selective seeking and selective avoidance as independent phenomena. A behavior tracking measure was employed. Study 1 used an online quasi-experiment with voluntary national samples (n = 271). Consistent with early reviews on selective exposure, participants sought out attitude consonant information but did not systematically avoid attitude dissonant information compared to neu…
Good News! Communication Findings May be Underestimated
Despite long-standing concerns over self-reported measures of media use, media research has relied heavily on self-reported data. This study not only examined discrepancies between survey and logged smartphone data but assessed whether correlational outcomes using self-reported measures produce greater or smaller effect sizes compared to outcomes using logged measures. College students (n = 294) and MTurk workers (n = 291) provided self-reported …
How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability
AI can make mistakes and cause unfavorable consequences. It is important to know how people react to such AI-driven negative consequences and subsequently evaluate the fairness of AI’s decisions. This study theorizes and empirically tests two psychological mechanisms that explain the process: (a) heuristic expectations of AI’s consistent performance (automation bias) and subsequent frustration of unfulfilled expectations (algorithmic aversion) an…
Round-trip agenda setting
Despite the social media’s agenda-setting power, the literature provides little understanding of how social media agendas survive and last long enough to trigger substantial public discussions. This study investigates this issue by tracking the ice bucket challenge campaign over an 18-week period. This article claims that the pattern of the intermedia process evolves over time along with the issue-attention cycle. We observed a round-trip interme…
Assessing the Carrying Capacity of Twitter and Online News
Communication theorists have long presumed that the capacity of mass media was essentially fixed. This study investigates the relevance of this assumption in the digital environment, where production and broadcasting capacities have become nearly infinite. Examining 2 years of data from Twitter and electronic databases of news articles revealed some differences in the nature of constraint in the two environments. The daily volume of Twitter was m…
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…
Cynical Nonpartisans
The literature on misinformation has not provided sufficient empirical evidence concerning its political consequences. To amend this trend, this study examines how widespread misinformation on social media elevates political cynicism, which has peaked over the past decade in the United States. Using two-wave survey data collected both before and after the 2020 US presidential election, we present evidence that social media use triggers political …
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 …
Evaluating Sampling Methods for Content Analysis of Twitter Data
Despite the existing evaluation of the sampling options for periodical media content, only a few empirical studies have examined whether probability sampling methods can be applicable to social media content other than simple random sampling. This article tests the efficiency of simple random sampling and constructed week sampling, by varying the sample size of Twitter content related to the 2014 South Carolina gubernatorial election. We examine …
Getting attention online in election coverage
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…
Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer-File Data
Survey research depends crucially on its ability to collect data from a targeted sample and for that sample to mirror the population of interest. Increasingly, survey firms are using data purchased from marketing firms such as Experian and Acxiom (consumer-file marketing data) as a means to improve correspondence between survey respondents and the general public. These data hold tremendous promise, not only for sampling at a reduced cost, but als…
Seeking Congruency or Incongruency Online
This study examined how citizens select science information online based on their preexisting issue attitudes. Voluntary national samples browsed through an online news magazine featuring divergent viewpoints about four controversial science topics (stem cell, evolution, genetically modified foods, and global warming). Their online activities, including article selection and the length of exposure, were unobtrusively measured by behavior tracking…
Talking About What Provokes Us
The current research assessed whether political satire viewing could indirectly promote interpersonal talk about politics by eliciting emotions. The theoretical model was tested utilizing both experimental and survey designs. The findings indicated good agreement, demonstrating that negative emotions significantly mediate and reinforce the effect of political satire viewing on interpersonal talk. Conversely, the process wherein traditional news s…
Unfriending and Muting During Elections
Although selective avoidance, commonly practiced as unfriending and muting on social media, has been assumed to be at odds with the democratic ideal of deliberation, academic literature says little about its antecedents and consequences. Drawing from the framework of psychological needs for information processing, we examine whether need for cognition and need to evaluate interact to predict selective avoidance, which then facilitates political e…
African American Internet Use for Information Search and Privacy Protection Tasks
This study used in-depth observations to investigate the differences in digital literacy among African American young adult Internet users. Sampled Internet users participated in one-to-one real-time observation sessions, in which each user completed Internet-related functions in two dimensions: (1) information search and (2) privacy protection. Observations recorded whether and how quickly each participant completed the assigned tasks. We found …
Reinforcing Cycles? Empirical Reflections on the Relationship Between Media Cynicism and Political Cynicism
Why Do People Underestimate Polling Effects? Examining the Gap Between Actual and Perceived Polling Effects
Two major challenges have limited the advance of our knowledge about people's bias in perceived polling effects compared with actual polling effects. The first challenge comes from a methodological difficulty in measuring the gap between perceived and actual polling effects. Second, two contradicting polling effects (i.e. bandwagon and underdog effect) cancel out each other at the aggregate level, making reported findings shrink. Addressing these…
Digital assistants
The Internet, selective learning, and the rise of issue specialists
Using national survey data (N = 1,208) in the U.S., the present study found that individuals relying upon the Internet translated their interest in the health care issue into issue–specific knowledge. However, those who depended on network TV, newspapers, and radio failed to display a high level of issue–specific knowledge, even when they were interested in the issue. The findings suggest that the Internet plays an important role in fostering iss…
The Dynamics of Public Attention
Researchers have used surveys and experiments to better understand communication dynamics, but confront consistent distortion from self-report data. But now both digital exposure and resulting expressive behaviors (such as tweets) are potentially accessible for direct analysis with important ramifications for the formulation of communication theory. We utilize “big data” to explore attention and framing in the traditional and social media for 29 …
Challenges to Selective Exposure
The present research investigated selective exposure online, treating selective seeking and selective avoidance as independent phenomena. A behavior tracking measure was employed. Study 1 used an online quasi-experiment with voluntary national samples (n = 271). Consistent with early reviews on selective exposure, participants sought out attitude consonant information but did not systematically avoid attitude dissonant information compared to neu…
Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer-File Data
Survey research depends crucially on its ability to collect data from a targeted sample and for that sample to mirror the population of interest. Increasingly, survey firms are using data purchased from marketing firms such as Experian and Acxiom (consumer-file marketing data) as a means to improve correspondence between survey respondents and the general public. These data hold tremendous promise, not only for sampling at a reduced cost, but als…
Seeking Congruency or Incongruency Online
This study examined how citizens select science information online based on their preexisting issue attitudes. Voluntary national samples browsed through an online news magazine featuring divergent viewpoints about four controversial science topics (stem cell, evolution, genetically modified foods, and global warming). Their online activities, including article selection and the length of exposure, were unobtrusively measured by behavior tracking…
Assessing the Carrying Capacity of Twitter and Online News
Communication theorists have long presumed that the capacity of mass media was essentially fixed. This study investigates the relevance of this assumption in the digital environment, where production and broadcasting capacities have become nearly infinite. Examining 2 years of data from Twitter and electronic databases of news articles revealed some differences in the nature of constraint in the two environments. The daily volume of Twitter was m…
Getting attention online in election coverage
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…
Polarized frames on “climate change” and “global warming” across countries and states
African American Internet Use for Information Search and Privacy Protection Tasks
This study used in-depth observations to investigate the differences in digital literacy among African American young adult Internet users. Sampled Internet users participated in one-to-one real-time observation sessions, in which each user completed Internet-related functions in two dimensions: (1) information search and (2) privacy protection. Observations recorded whether and how quickly each participant completed the assigned tasks. We found …
The Dynamics of Issue Frame Competition in Traditional and Social Media
This study examines the dynamics of the framing of mass shooting incidences in the U.S. occurring in the traditional commercial online news media and Twitter. We demonstrate that there is a dynamic, reciprocal relationship between the attention paid to different aspects of mass shootings in online news and in Twitter: tweets tend to be responsive to traditional media reporting, but traditional media framing of these incidents also seems to resona…
Round-trip agenda setting
Despite the social media’s agenda-setting power, the literature provides little understanding of how social media agendas survive and last long enough to trigger substantial public discussions. This study investigates this issue by tracking the ice bucket challenge campaign over an 18-week period. This article claims that the pattern of the intermedia process evolves over time along with the issue-attention cycle. We observed a round-trip interme…
Third person effects of fake news
Public attention, social media, and the Edward Snowden saga
Although prior research indicated the power of social media in drawing attention to particular issues, little research explored precise patterns by which an issue sustains its salience in mediated social platforms. We dissected the issue-attention cycle of Snowden revelations over a one-year period. We tackled this, using real-time large-scale Twitter data, and found that social media attention varied dramatically over time by the specificities o…
Talking About What Provokes Us
The current research assessed whether political satire viewing could indirectly promote interpersonal talk about politics by eliciting emotions. The theoretical model was tested utilizing both experimental and survey designs. The findings indicated good agreement, demonstrating that negative emotions significantly mediate and reinforce the effect of political satire viewing on interpersonal talk. Conversely, the process wherein traditional news s…
Divide in Ferguson
We examine the patterns of social polarization, with the case of Michael Brown shooting as an empirical basis for discussing the role of social media in promoting polarized viewpoints. In doing so, we test a model that synthesizes the interplay between text polarity in Twitter and four attributes of U.S. cities ( N = 216): (1) geographic location, (2) race, (3) poverty, and (4) technological condition. Our findings supported hypothesized function…
Evaluating Sampling Methods for Content Analysis of Twitter Data
Despite the existing evaluation of the sampling options for periodical media content, only a few empirical studies have examined whether probability sampling methods can be applicable to social media content other than simple random sampling. This article tests the efficiency of simple random sampling and constructed week sampling, by varying the sample size of Twitter content related to the 2014 South Carolina gubernatorial election. We examine …
Perceptions of mis- or disinformation exposure predict political cynicism
Despite a fast-growing body of literature on fake news and mis-/disinformation, there remains surprisingly little empirical work on the social/political consequences of exposure to false information. Addressing this issue, this study provides initial evidence that perceptions of false information exposure catalyze political cynicism. The findings from a two-wave panel survey during the 2018 US midterm elections reveal that perceptions of false in…
Good News! Communication Findings May be Underestimated
Despite long-standing concerns over self-reported measures of media use, media research has relied heavily on self-reported data. This study not only examined discrepancies between survey and logged smartphone data but assessed whether correlational outcomes using self-reported measures produce greater or smaller effect sizes compared to outcomes using logged measures. College students (n = 294) and MTurk workers (n = 291) provided self-reported …
Why Do People Share Political Information on Social Media
This study investigates factors predicting political information sharing on social media in the election context. Specifically, the current study examines how users’ six motivations for political information sharing and exposure to political disagreement on social media predict their political information sharing behaviors. Analyses of national survey data collected before the 2018 U.S. midterm election suggest that criticism, informing, and soci…
Unfriending and Muting During Elections
Although selective avoidance, commonly practiced as unfriending and muting on social media, has been assumed to be at odds with the democratic ideal of deliberation, academic literature says little about its antecedents and consequences. Drawing from the framework of psychological needs for information processing, we examine whether need for cognition and need to evaluate interact to predict selective avoidance, which then facilitates political e…
Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don't
Concerns over fake news have triggered a renewed interest in various forms of media literacy. Prevailing expectations posit that literacy interventions help audiences to be "inoculated" against any harmful effects of misleading information. This study empirically investigates such assumptions by assessing whether individuals with greater literacy (media, information, news, and digital literacies) are better at recognizing fake news, and which of …
Red Media, Blue Media, Trump Briefings, and Covid-19
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 …
The Politicization of Health and Science
One critical lesson learned from public opinion research about climate change is that the cost of politicization is disastrous. Although the literature has shown the dire consequences of politicized science issues, few have examined how such politicization is possibly triggered by political leaders in a seemingly nonpartisan science topic. Using two experiments (total n = 1,249), this article demonstrates how political cues over scientific expert…
Covid-19 vaccine perceptions in the initial phases of US vaccine roll-out
Our findings can inform the development of interventions where individuals determine the accuracy of vaccine information, and communications campaigns to improve COVID-19 vaccine perceptions, early in the vaccine timeline. Such efforts can increase individual- and population-level awareness of accurate and scientifically sound information regarding vaccines and thereby improve attitudes about vaccines, especially in the early phases of vaccine ro…
Candidate Evaluations and Social Media Following during the 2020 Presidential Campaign
This study investigates the relationship between presidential candidate evaluations and following the candidates on five social media (SM) platforms: Facebook, Twitter, Instagram, Snapchat, and YouTube. Analyses of national survey data collected during the 2020 presidential campaign (N = 2,120) suggest that following a candidate on SM is positively associated with feelings toward that candidate, even after gender, age, race, education, party iden…
Psychology (27 obras) · Social Media and Politics (26 obras) · Political science (24 obras) · Computer Science (22 obras) · Misinformation and Its Impacts (18 obras) · Social Psychology (18 obras) · Law (14 obras) · Social media (14 obras) · Politics (13 obras) · Sociology (13 obras)