Chenyan Jia
Biographic Data
| ID | 4266750 |
|---|---|
| NAME | Chenyan Jia |
| GIVEN NAMES | Chenyan |
| FAMILY NAME | Jia |
| SIGNATURE | JIA C |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0002-8407-9224 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 16 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Urban-town-rural disparities in subjective life expectancy among middle-aged and elderly adults in China
These findings highlight disparities in SLE across residences, which may contribute to discussions on policy development for healthy aging, particularly regarding equitable access to healthcare services, community-based elderly support programs, and health education initiatives in rural areas
Internal Fractures
Social media platforms are too often understood as monoliths with clear priorities. Instead, we analyze them as complex organizations torn between starkly different justifications of their missions. Focusing on the case of Meta, we inductively analyze the company's public materials and identify three evaluative logics that shape the platform's decisions: an engagement logic, a public debate logic, and a wellbeing logic. There are clear trade-offs…
Embedding Societal Values into Social Media Algorithms
Social media influences what we see and hear, what we believe, and how we act-but artificial intelligence (AI) influences social media.By changing our social environments, AIs change our social behavior: as per Winston Churchill, "We shape our buildings; thereafter, they shape us."Across billions of people on platforms from Facebook to Twitter to YouTube to TikTok, AI decides what is at the top of our feeds (Backstrom 2016; Fischer 2020), who we …
Promises and Perils of Automated Journalism
Automated tools for parsing and communicating information have increasingly become associated with the production of journalistic content. To study this phenomenon and to explore the development of automated journalism across two locales at the cutting edge of technology, we leverage insights from in-depth interviews with news technologists from pioneering news organizations and Internet companies specialized in the construction of "news bot" tec…
How social media users become misinformed
This study explores the role of the news-finds-me (NFM) perception—the belief that people can be well-informed without actively seeking news due to their social networks—in fostering social media users’ inaccurate beliefs about COVID-19. Findings from a US national survey ( N = 1003) suggest that NFM perception is positively associated with belief in COVID-19 misinformation and mediates the positive relationship between social media use and false…
Politically Contested Beliefs
The COVID-19 pandemic poses an unprecedented risk to society. Studies suggested that people's beliefs about COVID-19 are divided depending on partisan affiliations. Building on the belief gap hypothesis, this study adopts a nationally representative survey (N = 1,119) to examine whether political identity or support for Trump is more strongly related to having false beliefs about COVID-19. Results showed that support for Trump is a better predict…
Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3 (author attribution: human, algorithm, or human-assisted algorithm) x 3 (news attitude: pro-issue, neutral, or anti-issue) mixed factorial design onli…
How social media users become misinformed
This study explores the role of the news-finds-me (NFM) perception—the belief that people can be well-informed without actively seeking news due to their social networks—in fostering social media users’ inaccurate beliefs about COVID-19. Findings from a US national survey ( N = 1003) suggest that NFM perception is positively associated with belief in COVID-19 misinformation and mediates the positive relationship between social media use and false…
Promises and Perils of Automated Journalism
Automated tools for parsing and communicating information have increasingly become associated with the production of journalistic content. To study this phenomenon and to explore the development of automated journalism across two locales at the cutting edge of technology, we leverage insights from in-depth interviews with news technologists from pioneering news organizations and Internet companies specialized in the construction of "news bot" tec…
Internal Fractures
Social media platforms are too often understood as monoliths with clear priorities. Instead, we analyze them as complex organizations torn between starkly different justifications of their missions. Focusing on the case of Meta, we inductively analyze the company's public materials and identify three evaluative logics that shape the platform's decisions: an engagement logic, a public debate logic, and a wellbeing logic. There are clear trade-offs…
Embedding Societal Values into Social Media Algorithms
Social media influences what we see and hear, what we believe, and how we act-but artificial intelligence (AI) influences social media.By changing our social environments, AIs change our social behavior: as per Winston Churchill, "We shape our buildings; thereafter, they shape us."Across billions of people on platforms from Facebook to Twitter to YouTube to TikTok, AI decides what is at the top of our feeds (Backstrom 2016; Fischer 2020), who we …
Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3 (author attribution: human, algorithm, or human-assisted algorithm) x 3 (news attitude: pro-issue, neutral, or anti-issue) mixed factorial design onli…
Politically Contested Beliefs
The COVID-19 pandemic poses an unprecedented risk to society. Studies suggested that people's beliefs about COVID-19 are divided depending on partisan affiliations. Building on the belief gap hypothesis, this study adopts a nationally representative survey (N = 1,119) to examine whether political identity or support for Trump is more strongly related to having false beliefs about COVID-19. Results showed that support for Trump is a better predict…
Embedding Societal Values into Social Media Algorithms
Social media influences what we see and hear, what we believe, and how we act-but artificial intelligence (AI) influences social media.By changing our social environments, AIs change our social behavior: as per Winston Churchill, "We shape our buildings; thereafter, they shape us."Across billions of people on platforms from Facebook to Twitter to YouTube to TikTok, AI decides what is at the top of our feeds (Backstrom 2016; Fischer 2020), who we …
Promises and Perils of Automated Journalism
Automated tools for parsing and communicating information have increasingly become associated with the production of journalistic content. To study this phenomenon and to explore the development of automated journalism across two locales at the cutting edge of technology, we leverage insights from in-depth interviews with news technologists from pioneering news organizations and Internet companies specialized in the construction of "news bot" tec…
How social media users become misinformed
This study explores the role of the news-finds-me (NFM) perception—the belief that people can be well-informed without actively seeking news due to their social networks—in fostering social media users’ inaccurate beliefs about COVID-19. Findings from a US national survey ( N = 1003) suggest that NFM perception is positively associated with belief in COVID-19 misinformation and mediates the positive relationship between social media use and false…
Internal Fractures
Social media platforms are too often understood as monoliths with clear priorities. Instead, we analyze them as complex organizations torn between starkly different justifications of their missions. Focusing on the case of Meta, we inductively analyze the company's public materials and identify three evaluative logics that shape the platform's decisions: an engagement logic, a public debate logic, and a wellbeing logic. There are clear trade-offs…
Urban-town-rural disparities in subjective life expectancy among middle-aged and elderly adults in China
These findings highlight disparities in SLE across residences, which may contribute to discussions on policy development for healthy aging, particularly regarding equitable access to healthcare services, community-based elderly support programs, and health education initiatives in rural areas
Computer Science (5 works) · Political science (4 works) · Artificial Intelligence (3 works) · Misinformation and Its Impacts (3 works) · Psychology (3 works) · Social media (3 works) · Social Media and Politics (3 works) · Social Psychology (3 works) · World Wide Web (3 works) · Business (2 works)