Tawfiq Ammari
Biographic Data
| ID | 4418093 |
|---|---|
| NAME | Tawfiq Ammari |
| GIVEN NAMES | Tawfiq |
| FAMILY NAME | Ammari |
| SIGNATURE | AMMARI T |
| AFFILIATIONS | Rutgers, the State University of New Jersey |
| ORCID | 0000-0002-1920-1625 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Patient-made knowledge networks
Long COVID represents an unprecedented case of patient-led illness definition, emerging through Twitter in May 2020 when patients collectively named and legitimized their condition before medical recognition. This study examines 2.8 million tweets containing #LongCOVID through topic modeling followed by content analysis of a purposively sampled 5100 tweets, and exponential random graph modeling (ERGM) to understand how contested illness communiti…
Multimodal poverty mapping and geographic transfer allocation
Governance, technology, and the limits of digital solidarity economies
This study examines how a government-led mobility platform in South Korea, framed as a cooperative digital solidarity project, faltered due to socio-technical misalignments, opaque governance, and limited community control
Racism, resistance, and Reddit
This study examines how Reddit users engaged with the racial narratives of Lovecraft Country and Watchmen, two television series that reimagine historical racial trauma. Drawing on narrative persuasion and multistep flow theory, we analyze 3,879 Reddit comments using topic modeling and critical discourse analysis. We identify three dynamic social roles advocates, adversaries, and adaptives and explore how users move between them in response to ra…
Artificial intelligence in applied family research involving families with young children
Moral disengagement and content moderation attitudes
Social media users’ preferences for various content moderation interventions have been widely studied, but the implicit beliefs that connect to these preferences are less understood. Using a nationally representative survey data set, we investigate how end-users’ attitudes toward moderating harmful speech online relate to their offline racial attitudes. We find that racially conservative beliefs are significantly positively related to participant…
Contextualized poverty targeting with multimodal spatial data and machine learning in Brazzaville, Congo
Enhancing targeting accuracy in social welfare programs fosters equitable urban development. Advancements in this field harness georeferenced data and leverage AI/machine learning (ML) techniques to predict poverty and allocate aid. However, these models are predominantly developed in areas with georeferenced national surveys and are intended for geographic targeting. We demonstrate that household-level targeting can be achieved in understudied c…
Online knowledge production in polarized political memes
Visual culture has long been deployed by actors across the political spectrum as a tool of political mobilization and has recently incorporated new elements such as memes, GIFs, and emojis. In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) posted between May 2021 and May 2022 to investigate their visual and textual appeals. Using image clustering techniques and critical discourse analysis (CDA), we…
Online knowledge production in polarized political memes
Visual culture has long been deployed by actors across the political spectrum as a tool of political mobilization and has recently incorporated new elements such as memes, GIFs, and emojis. In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) posted between May 2021 and May 2022 to investigate their visual and textual appeals. Using image clustering techniques and critical discourse analysis (CDA), we…
Online knowledge production in polarized political memes
Visual culture has long been deployed by actors across the political spectrum as a tool of political mobilization and has recently incorporated new elements such as memes, GIFs, and emojis. In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) posted between May 2021 and May 2022 to investigate their visual and textual appeals. Using image clustering techniques and critical discourse analysis (CDA), we…
Artificial intelligence in applied family research involving families with young children
Moral disengagement and content moderation attitudes
Social media users’ preferences for various content moderation interventions have been widely studied, but the implicit beliefs that connect to these preferences are less understood. Using a nationally representative survey data set, we investigate how end-users’ attitudes toward moderating harmful speech online relate to their offline racial attitudes. We find that racially conservative beliefs are significantly positively related to participant…
Contextualized poverty targeting with multimodal spatial data and machine learning in Brazzaville, Congo
Enhancing targeting accuracy in social welfare programs fosters equitable urban development. Advancements in this field harness georeferenced data and leverage AI/machine learning (ML) techniques to predict poverty and allocate aid. However, these models are predominantly developed in areas with georeferenced national surveys and are intended for geographic targeting. We demonstrate that household-level targeting can be achieved in understudied c…
Patient-made knowledge networks
Long COVID represents an unprecedented case of patient-led illness definition, emerging through Twitter in May 2020 when patients collectively named and legitimized their condition before medical recognition. This study examines 2.8 million tweets containing #LongCOVID through topic modeling followed by content analysis of a purposively sampled 5100 tweets, and exponential random graph modeling (ERGM) to understand how contested illness communiti…
Multimodal poverty mapping and geographic transfer allocation
Governance, technology, and the limits of digital solidarity economies
This study examines how a government-led mobility platform in South Korea, framed as a cooperative digital solidarity project, faltered due to socio-technical misalignments, opaque governance, and limited community control
Racism, resistance, and Reddit
This study examines how Reddit users engaged with the racial narratives of Lovecraft Country and Watchmen, two television series that reimagine historical racial trauma. Drawing on narrative persuasion and multistep flow theory, we analyze 3,879 Reddit comments using topic modeling and critical discourse analysis. We identify three dynamic social roles advocates, adversaries, and adaptives and explore how users move between them in response to ra…
Gender Studies (2 works) · Geographic Information Systems Studies (2 works) · Poverty (2 works) · Social Media and Politics (2 works) · Sociology (2 works) · 2019-20 coronavirus outbreak (1 works) · Affordance (1 works) · Apathy (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Capability approach (1 works)