Drew Margolin
- Communication top 1%
- Social Media and Politics 16
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- Misinformation and Its Impacts 15
- Media Influence and Politics 6
- Digital Marketing and Social Media 5
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- Opinion Dynamics and Social Influence 11
- Complex Network Analysis Techniques 6
- General Social Sciences top 2%
- Computational and Text Analysis Methods 6
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection 7
- Co-authors
- Anikó HannákIngmar WeberYu‐Ru LinBrian KeeganPeter R. MongeChao YuDavid LazerJeff Niederdeppe
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Drew Margolin
46 papers receiving 944 citations
Peers
Comparison fields: 5 of 94
- Communication 445
- Sociology and Political Science 634
- Statistical and Nonlinear Physics 172
- General Social Sciences 31
- Artificial Intelligence 213
Countries citing papers authored by Drew Margolin
This map shows the geographic impact of Drew Margolin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Drew Margolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew Margolin more than expected).
Fields of papers citing papers by Drew Margolin
This network shows the impact of papers produced by Drew Margolin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Drew Margolin. The network helps show where Drew Margolin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Drew Margolin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 13 | |
| 14 | 2019 | 17 | |
| 15 | An Attribution Relations Corpus for Political News | 2018 | 7 |
| 16 | 2018 | 59 | |
| 17 | 2018 | 23 | |
| 18 | Assessing the Verifiability of Attributions in News Text | 2017 | 2 |
| 19 | 2015 | 8 | |
| 20 | 2014 | 92 |
About Drew Margolin
Drew Margolin is a scholar working on Communication, General Social Sciences, Tourism, Leisure and Hospitality Management, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 52 papers that have together received 987 indexed citations. Recurring topics across this work include Social Media and Politics (16 papers), Misinformation and Its Impacts (15 papers), Opinion Dynamics and Social Influence (11 papers), Hate Speech and Cyberbullying Detection (7 papers), Media Influence and Politics (6 papers), Computational and Text Analysis Methods (6 papers), Complex Network Analysis Techniques (6 papers) and Digital Marketing and Social Media (5 papers). The work is most often cited by research in Communication (445 citations), Sociology and Political Science (634 citations), Statistical and Nonlinear Physics (172 citations), General Social Sciences (31 citations) and Artificial Intelligence (213 citations). Drew Margolin has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Anikó Hannák, Ingmar Weber, Yu‐Ru Lin, Brian Keegan, Peter R. Monge, Chao Yu, David Lazer, Jeff Niederdeppe, Wang Liao and Cuihua Shen. Their work appears in journals such as New Media & Society, PLoS ONE, Communication Theory, Communication Research and Preventive Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.