Jack Bandy

490 total citations
15 papers, 238 citations indexed

About

Jack Bandy is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Jack Bandy has authored 15 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Communication and 3 papers in Artificial Intelligence. Recurrent topics in Jack Bandy's work include Social Media and Politics (6 papers), Misinformation and Its Impacts (5 papers) and Ethics and Social Impacts of AI (3 papers). Jack Bandy is often cited by papers focused on Social Media and Politics (6 papers), Misinformation and Its Impacts (5 papers) and Ethics and Social Impacts of AI (3 papers). Jack Bandy collaborates with scholars based in United States and Philippines. Jack Bandy's co-authors include Nicholas Diakopoulos, W. Brent Seales, Frederik Coppens, Stephen Parsons, Brent Hecht, Nicholas Vincent, Jamie Payton and T. Lazovich and has published in prestigious journals such as PLoS ONE, Social Forces and Social Media + Society.

In The Last Decade

Jack Bandy

14 papers receiving 228 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jack Bandy United States 7 110 71 67 62 36 15 238
Jonathan Stray United States 6 88 0.8× 78 1.1× 50 0.7× 49 0.8× 24 0.7× 11 251
Oana Goga France 6 150 1.4× 92 1.3× 31 0.5× 23 0.4× 67 1.9× 13 240
Samuel Carton United States 11 64 0.6× 225 3.2× 61 0.9× 61 1.0× 44 1.2× 15 351
Christopher Rytting United States 4 86 0.8× 187 2.6× 27 0.4× 45 0.7× 23 0.6× 4 382
Joris van Hoboken Netherlands 10 174 1.6× 104 1.5× 45 0.7× 40 0.6× 82 2.3× 39 321
Michelle S. Lam United States 7 52 0.5× 113 1.6× 32 0.5× 54 0.9× 25 0.7× 12 216
Daricia Wilkinson United States 9 118 1.1× 87 1.2× 24 0.4× 29 0.5× 79 2.2× 19 264
Ruth García-Gavilanes Spain 5 78 0.7× 44 0.6× 67 1.0× 8 0.1× 36 1.0× 9 201
Bahareh Heravi Ireland 9 159 1.4× 58 0.8× 182 2.7× 12 0.2× 81 2.3× 27 392
Jessica Kunert Germany 8 174 1.6× 54 0.8× 146 2.2× 64 1.0× 20 0.6× 18 323

Countries citing papers authored by Jack Bandy

Since Specialization
Citations

This map shows the geographic impact of Jack Bandy'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 Jack Bandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Bandy more than expected).

Fields of papers citing papers by Jack Bandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Bandy. 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 Jack Bandy. The network helps show where Jack Bandy may publish in the future.

Co-authorship network of co-authors of Jack Bandy

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Bandy. A scholar is included among the top collaborators of Jack Bandy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jack Bandy. Jack Bandy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Bandy, Jack & Nicholas Diakopoulos. (2023). Facebook’s News Feed Algorithm and the 2020 US Election. Social Media + Society. 9(3). 6 indexed citations
2.
Bandy, Jack & T. Lazovich. (2022). Exposure to Marginally Abusive Content on Twitter. SSRN Electronic Journal. 2 indexed citations
4.
Bandy, Jack & Nicholas Vincent. (2021). Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus. Neural Information Processing Systems. 2 indexed citations
5.
Bandy, Jack & Brent Hecht. (2021). Errors in Geotargeted Display Advertising. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW1). 1–19. 6 indexed citations
6.
Diakopoulos, Nicholas, et al.. (2021). Auditing Human-Machine Communication Systems Using Simulated Humans. SSRN Electronic Journal. 1 indexed citations
7.
Bandy, Jack & Nicholas Diakopoulos. (2021). Curating Quality? How Twitter’s Timeline Algorithm Treats Different Types of News. Social Media + Society. 7(3). 22 indexed citations
8.
Bandy, Jack. (2021). Problematic Machine Behavior. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW1). 1–34. 96 indexed citations
9.
Bandy, Jack & Nicholas Diakopoulos. (2021). More Accounts, Fewer Links. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW1). 1–28. 28 indexed citations
10.
Bandy, Jack & Nicholas Diakopoulos. (2020). Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News. Proceedings of the International AAAI Conference on Web and Social Media. 14. 36–47. 38 indexed citations
11.
Parsons, Stephen, et al.. (2019). From invisibility to readability: Recovering the ink of Herculaneum. PLoS ONE. 14(5). e0215775–e0215775. 21 indexed citations
12.
Bandy, Jack & Nicholas Diakopoulos. (2019). Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News. arXiv (Cornell University). 14. 36–47. 10 indexed citations
13.
Bandy, Jack. (2018). Automation moderation. 3(4). 59–62. 1 indexed citations
14.
Bandy, Jack, et al.. (2016). Demonstrating HighFiveLive: A mobile application for recognizing symbolic gestures. 1–3. 4 indexed citations

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.

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