Amanul Haque
Biographic Data
| ID | 9294147 |
|---|---|
| NAME | Amanul Haque |
| GIVEN NAMES | Amanul |
| FAMILY NAME | Haque |
| SIGNATURE | HAQUE A |
| AFFILIATIONS | North Carolina State University |
| ORCID | 0000-0003-1388-6122 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
NewsSlant: Analyzing Political News and Its Influence Through a Moral Lens
Political news is often slanted toward its publisher’s ideology and seeks to influence readers by focusing on selected aspects of contentious social and political issues. We investigate political slants in news and their influence on readers by analyzing election-related news and readers’ reactions to the news on Twitter. To this end, we collected election-related news from six major U.S. news publishers who covered the 2020 U.S. presidential ele…
The Emotional Impact of Covid-19 News Reporting: A Longitudinal Study Using Natural Language Processing
The emotional impact of the COVID-19 pandemic and ensuing social restrictions has been profound, with widespread negative effects on mental health. We made use of the natural language processing and large-scale Twitter data to explore this in depth, identifying emotions in COVID-19 news content and user reactions to it, and how these evolved over the course of the pandemic. We focused on major UK news channels, constructing a dataset of COVID-rel…
Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter
Understanding dynamics of polarization via multiagent social simulation
It is widely recognized that the Web contributes to user polarization, and such polarization affects not just politics but also peoples’ stances about public health, such as vaccination. Understanding polarization in social networks is challenging because it depends not only on user attitudes but also their interactions and exposure to information. We adopt Social Judgment Theory to operationalize attitude shift and model user behavior based on e…
No prominent works on this page.
The Emotional Impact of Covid-19 News Reporting: A Longitudinal Study Using Natural Language Processing
The emotional impact of the COVID-19 pandemic and ensuing social restrictions has been profound, with widespread negative effects on mental health. We made use of the natural language processing and large-scale Twitter data to explore this in depth, identifying emotions in COVID-19 news content and user reactions to it, and how these evolved over the course of the pandemic. We focused on major UK news channels, constructing a dataset of COVID-rel…
Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter
Understanding dynamics of polarization via multiagent social simulation
It is widely recognized that the Web contributes to user polarization, and such polarization affects not just politics but also peoples’ stances about public health, such as vaccination. Understanding polarization in social networks is challenging because it depends not only on user attitudes but also their interactions and exposure to information. We adopt Social Judgment Theory to operationalize attitude shift and model user behavior based on e…
NewsSlant: Analyzing Political News and Its Influence Through a Moral Lens
Political news is often slanted toward its publisher’s ideology and seeks to influence readers by focusing on selected aspects of contentious social and political issues. We investigate political slants in news and their influence on readers by analyzing election-related news and readers’ reactions to the news on Twitter. To this end, we collected election-related news from six major U.S. news publishers who covered the 2020 U.S. presidential ele…
Computer Science (3 works) · Psychology (3 works) · Social Psychology (3 works) · Anger (2 works) · Media Influence and Health (2 works) · Media studies (2 works) · Medicine (2 works) · Misinformation and Its Impacts (2 works) · Pandemic (2 works) · Political science (2 works)