Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

StockTwits

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data category: Social media data · 0 papers in the last 7 days

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Posts and activity from social networks and investor forums.

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Names searched for: StockTwits

Key findings#

  • From Nov 2023 to Oct 2026, 49 archived papers mentioned StockTwits in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2024 (4).
  • No paper of the tracked journals mentioned StockTwits in the last 30 days (2026-10-07 to 2026-11-05).
  • From 2017 to 2026 (so far), StockTwits was mentioned in 71 papers in the tracked journals, most of them in finance (36), AI (12) and economics (11).
  • 10 of them were published in 2025, against 2 in 2017.
  • Since 2023, the institutions with the most of these papers were Australian National University (3), Queensland University of Technology (2) and University of Aberdeen (2).
  • The journals publishing most of them were International Review of Financial Analysis (5), Financial Innovation (5) and Information & Management (3).
  • The most-cited of them is “Intraday online investor sentiment and return patterns in the U.S. stock market” (Journal of Banking & Finance, 2017), with 441 citations.
  • Papers use StockTwits most often with Twitter / X (40), S&P 500 (23) and Reddit (21); it has 25 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
19121849

Papers per year#

2017: 2 papers2018: 3 papers2019: 4 papers2020: 3 papers2021: 6 papers2022: 1 paper2023: 6 papers2024: 19 papers2025: 10 papers2026 (so far): 17 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Finance112230310311
AI0101201421
Economics1020111212
Information Systems0000001220
Management0100000012
Accounting0000000011
Statistics0000000100
All categories2343616191017

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Australian National University3
2Queensland University of Technology2
3University of Aberdeen2
4University of Pittsburgh2
5Anhui University1
6Auckland University of Technology1
7Bank of Canada1
8COMSATS University Islamabad1
9Ca' Foscari University of Venice1
10California Lutheran University1
Countries with the most papers, since 2023
#CountryPapers
1China11
2United States10
3United Kingdom8
4Australia5
5Italy4
6Canada3
7Germany3
8Spain3
9Hong Kong3
10Turkey3
Keywords with the most papers, since 2023
#KeywordPapers
1StockTwits14
2investor sentiment14
3social media sentiment14
4retail investors9
5social media7
6Twitter5
7behavioral finance5
8large language models5
9sentiment analysis5
10stock price prediction5

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
14413.9Intraday online investor sentiment and return patterns in the U.S. stock marketJournal of Banking & Finance2017-07-12Thomas Renault
23903.7Big Data: Deep Learning for financial sentiment analysisJournal Of Big Data2018-01-25Sahar Sohangir, Dingding Wang, Anna Pomeranets et al.
33143.7The impact of sentiment and attention measures on stock market volatilityInternational Journal of Forecasting2019-10-09Francesco Audrino, Fabio Sigrist, Daniele Ballinari
41434.9The social signalJournal of Financial Economics2024-06-03J. Anthony Cookson, Runjing Lu, William Mullins et al.
51351.7Does investor sentiment on social media provide robust information for Bitcoin returns predictability?Finance research letters2020-03-19Dominique Guégan, Thomas Renault

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use StockTwits most often with Twitter / X (40), S&P 500 (23) and Reddit (21); it has 25 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use StockTwits together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Twitter / XDataset406.1
S&P 500Dataset236.8
RedditDataset2123.4
Baker-Wurgler investor sentimentDataset1249.6
FacebookDataset112.5
Marketization index (Fan Gang)Dataset1010.1
Yahoo FinanceDataset1033.2
Loughran-McDonald dictionaryDataset930.8
Seeking AlphaDataset9118.9
CompustatDataset88.6
CRSPDataset812.7
VIXDataset85.6
Cite this page

Scholar4AI. (2026). StockTwits. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/stocktwits

@misc{scholar4ai-datasets-stocktwits,
  author = {{Scholar4AI}},
  title = {StockTwits},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/stocktwits}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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