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Posts and activity from social networks and investor forums.
Key findings#
- From Nov 2023 to Oct 2026, 477 archived papers mentioned Reddit in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2025 (21).
- Reddit was mentioned in 9 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #36 of the 255 datasets mentioned.
- By journal category: AI (3), Information Systems (2), Operations Research (2), Marketing (1) and Tourism and Hospitality (1).
- Most of them appeared in Artificial Intelligence Review (2), Ethics and Information Technology (1) and Research in Transportation Business & Management (1).
- From 2017 to 2026 (so far), Reddit was mentioned in 541 papers in the tracked journals, most of them in AI (277), finance (57) and information systems (52).
- 169 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (14), Hong Kong Polytechnic University (9) and University of Chinese Academy of Sciences (9).
- The journals publishing most of them were AI & Society (42), Artificial Intelligence Review (30) and Expert Systems with Applications (23).
- The most-cited of them is “Vision-Language Models for Vision Tasks: A Survey” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 998 citations.
- Papers use Reddit most often with Twitter / X (252), Facebook (168) and YouTube / TikTok (116); it has 77 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.
Mentions over 36 months#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 120 | 164 | 193 | 477 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 1 | 2 | 4 | 2 | 5 | 8 | 17 | 72 | 99 | 67 |
| Finance | 0 | 0 | 0 | 0 | 2 | 3 | 2 | 16 | 15 | 19 |
| Information Systems | 1 | 0 | 0 | 1 | 1 | 3 | 5 | 11 | 11 | 19 |
| Management | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 18 | 26 |
| Economics | 0 | 0 | 0 | 0 | 4 | 2 | 3 | 6 | 9 | 5 |
| Marketing | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 11 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 9 |
| Higher Education and Research | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 3 | 5 | 1 |
| Accounting | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 4 |
| Tourism and Hospitality | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 4 |
| Health Economics and Policy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| All categories | 2 | 2 | 4 | 5 | 12 | 19 | 34 | 127 | 169 | 167 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | AI & Society | 42 |
| 2 | Artificial Intelligence Review | 30 |
| 3 | Expert Systems with Applications | 23 |
| 4 | IEEE Transactions on Knowledge and Data Engineering | 19 |
| 5 | Language Resources and Evaluation | 16 |
| 6 | Information Processing & Management | 13 |
| 7 | IEEE Transactions on Neural Networks and Learning Systems | 12 |
| 8 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 11 |
| 9 | Journal of Business Research | 10 |
| 10 | Neural Computing and Applications | 10 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 14 |
| 2 | Hong Kong Polytechnic University | 9 |
| 3 | University of Chinese Academy of Sciences | 9 |
| 4 | University of Edinburgh | 8 |
| 5 | University of Amsterdam | 7 |
| 6 | University of Duisburg-Essen | 7 |
| 7 | Beijing University of Posts and Telecommunications | 6 |
| 8 | Copenhagen Business School | 6 |
| 9 | Leiden University | 6 |
| 10 | The University of Queensland | 6 |
| # | Country | Papers |
|---|---|---|
| 1 | United States | 94 |
| 2 | China | 90 |
| 3 | United Kingdom | 81 |
| 4 | Germany | 54 |
| 5 | Australia | 42 |
| 6 | Italy | 40 |
| 7 | Netherlands | 30 |
| 8 | France | 28 |
| 9 | Hong Kong | 21 |
| 10 | Spain | 20 |
| # | Keyword | Papers |
|---|---|---|
| 1 | large language models | 63 |
| 2 | 49 | |
| 3 | social media | 35 |
| 4 | 33 | |
| 5 | graph neural networks | 30 |
| 6 | generative AI | 24 |
| 7 | sentiment analysis | 21 |
| 8 | investor sentiment | 17 |
| 9 | social media sentiment | 16 |
| 10 | ChatGPT | 15 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 998 | 30.9 | Vision-Language Models for Vision Tasks: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2024-02-26 | Jingyi Zhang, Jiaxing Huang, Sheng Jin et al. |
| 2 | 635 | 18.9 | A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions | Journal Of Big Data | 2024-01-16 | Bharti Khemani, Shruti Patil, Ketan V. Kotecha et al. |
| 3 | 495 | 14.0 | A comprehensive survey on applications of transformers for deep learning tasks | Expert Systems with Applications | 2023-11-22 | Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al. |
| 4 | 345 | 10.7 | A Comprehensive Survey on Deep Graph Representation Learning | Neural Networks | 2024-02-27 | Wei Ju, Zheng Fang, Yiyang Gu et al. |
| 5 | 304 | 3.4 | An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit | Information Processing & Management | 2019-04-17 | Stephan A. Curiskis, Barry Drake, Thomas R. Osborn et al. |
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| Twitter / X | Dataset | 252 | 5.0 |
| Dataset | 168 | 5.0 | |
| YouTube / TikTok | Dataset | 116 | 5.4 |
| Wikipedia | Dataset | 97 | 7.8 |
| Hugging Face Hub | Dataset | 44 | 7.4 |
| Dataset | 32 | 3.0 | |
| Dataset | 31 | 5.6 | |
| Amazon Mechanical Turk | Dataset | 26 | 3.6 |
| Kaggle | Dataset | 26 | 3.5 |
| S&P 500 | Dataset | 26 | 0.9 |
| IMDb | Dataset | 24 | 8.0 |
| ImageNet | Dataset | 21 | 0.7 |
Cite this page
Scholar4AI. (2026). Reddit. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/reddit
@misc{scholar4ai-datasets-reddit,
author = {{Scholar4AI}},
title = {Reddit},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/reddit}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}