Josh A. Goldstein

411 total citations · 1 hit paper
11 papers, 139 citations indexed

About

Josh A. Goldstein is a scholar working on Sociology and Political Science, Cognitive Neuroscience and Safety Research. According to data from OpenAlex, Josh A. Goldstein has authored 11 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 2 papers in Cognitive Neuroscience and 2 papers in Safety Research. Recurrent topics in Josh A. Goldstein's work include Misinformation and Its Impacts (5 papers), Ethics and Social Impacts of AI (2 papers) and Terrorism, Counterterrorism, and Political Violence (2 papers). Josh A. Goldstein is often cited by papers focused on Misinformation and Its Impacts (5 papers), Ethics and Social Impacts of AI (2 papers) and Terrorism, Counterterrorism, and Political Violence (2 papers). Josh A. Goldstein collaborates with scholars based in United States, United Kingdom and Belgium. Josh A. Goldstein's co-authors include Shelby Grossman, Michael Tomz, Renée DiResta, Srijan Kumar, Nicolas Pröllochs, Stefan Feuerriegel, Philipp Lorenz-Spreen, Samantha Bradshaw, Daniel R. Bush and David H. Van Thiel and has published in prestigious journals such as Nature, The Journal of Politics and Nature Human Behaviour.

In The Last Decade

Josh A. Goldstein

10 papers receiving 132 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How persuasive is AI-generated propaganda?

2024 56 citations Josh A. Goldstein, Shelby Grossman et al. PNAS Nexus profile →

Peers

Josh A. Goldstein

SPS

AI

COMMU

SR

IS

Gwenyth Portillo-Wightman United States

Daniel Loureiro United Kingdom

Maximilian Wich Germany

Lena Clever Germany

Paul Röttger United Kingdom

Lisa‐Maria Neudert United Kingdom

Rui Sousa‐Silva Portugal

Megan A. Brown United States

Nripsuta Ani Saxena United States

Zeerak Talat Canada

Gwenyth Portillo-Wightman United States

Josh A. Goldstein

98 ×1.1

SPS

73 ×1.3

AI

25 ×0.8

COMMU

11 ×0.5

SR

5 ×0.3

IS

Citations per year, relative to Josh A. Goldstein Josh A. Goldstein (= 1×) peers Gwenyth Portillo-Wightman

Countries citing papers authored by Josh A. Goldstein

Since Specialization

Citations

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

Fields of papers citing papers by Josh A. Goldstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josh A. Goldstein. 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 Josh A. Goldstein. The network helps show where Josh A. Goldstein may publish in the future.

Co-authorship network of co-authors of Josh A. Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Josh A. Goldstein. A scholar is included among the top collaborators of Josh A. Goldstein 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 Josh A. Goldstein. Josh A. Goldstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Goldstein, Josh A., et al.. (2024). How persuasive is AI-generated propaganda?. PNAS Nexus. 3(2). pgae034–pgae034. 56 indexed citations breakdown →

2.

DiResta, Renée & Josh A. Goldstein. (2024). How spammers and scammers leverage AI-generated images on Facebook for audience growth. 11 indexed citations

3.

Goldstein, Josh A. & Girish Sastry. (2024). The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI Systems. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 503–518.

4.

Tyler, Chris, et al.. (2023). AI tools as science policy advisers? The potential and the pitfalls. Nature. 622(7981). 27–30. 12 indexed citations

5.

Feuerriegel, Stefan, Renée DiResta, Josh A. Goldstein, et al.. (2023). Research can help to tackle AI-generated disinformation. Nature Human Behaviour. 7(11). 1818–1821. 25 indexed citations

6.

Goldstein, Josh A., et al.. (2023). Belief in COVID-19 Misinformation in Nigeria. The Journal of Politics. 86(2). 810–814. 2 indexed citations

7.

Goldstein, Josh A. & Renée DiResta. (2022). Research note: This salesperson does not exist: How tactics from political influence operations on social media are deployed for commercial lead generation. 3 indexed citations

8.

Bradshaw, Samantha, Daniel R. Bush, Renée DiResta, et al.. (2021). The Long Fuse: Misinformation and the 2020 Election. 24 indexed citations

9.

DiResta, Renée, Shelby Grossman, & Josh A. Goldstein. (2021). Middle East Influence Operations: Observations Across Social Media Takedowns. 3 indexed citations

10.

Goldstein, Josh A., et al.. (2020). Cheerleading Without Fans: A Low-Impact Domestic Information Operation by the Royal Thai Army (TAKEDOWN). 1 indexed citations

11.

Grossman, Shelby, et al.. (2020). Political Retweet Rings and Compromised Accounts: A Twitter Influence Operation Linked to the Youth Wing of Turkey’s Ruling Party (TAKEDOWN). 2 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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