MovieTweetings: Movie Ratings Tweeted from IMDb
MovieTweetings (Simon Dooms, Ghent University): 921,398 movie ratings from 71,707 users on 38,018 movies, taken from well-structured tweets posted by the IMDb apps' rating widget (of the form 'I rated The Matrix 9/10 http://www.imdb.com/title/tt0133093/ #IMDb'). Ratings run from 0 to 10 as on IMDb, and were posted between 28 February 2013 and 24 November 2021. Each movie has its IMDb identifier, its title with the year and its genres. Users are numbered 1 to 71,707 and each is mapped to a Twitter user ID.
Cite this dataset at
movietweetings.echo.directory
Analytics
The full graph has 109,725 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Record
- Catalog key
movietweetings- Authors
- Dooms, Simon; De Pessemier, Toon; Martens, Luc
- Year
- 2013
- Source paper
- MovieTweetings: a Movie Rating Dataset Collected From Twitter
- License
- MIT (MIT)
- Records
- 921,398
- Nodes
- 109,725
- Edges
- 921,398 (directed)
- Nodes are
- user and film
- Edges are
- rating (user -> film, weight = score 0-10)
- Attributes
- nodes have attributes; edges have attributes
- Languages
- en
- Collected
- 2013-02-28 to 2021-11-24 (2010s, 2020s)
- Tasks
- Recommendation (ranking) inferred, Rating prediction (regression;
rating) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/sidooms/MovieTweetings link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-20, 29.5 MB across 5 files. Checksums in MANIFEST.json. For use, start with the data package below.
- Data package
- Version 1.0.0 of this dataset as an ECHO Data Package: users (71,707 rows), items (38,018 rows), interactions (921,398 rows).
- Structure
- Node attributes
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{dooms2013movietweetings,
title = {MovieTweetings: a Movie Rating Dataset Collected From Twitter},
author = {Dooms, Simon and De Pessemier, Toon and Martens, Luc},
booktitle = {Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec) at RecSys 2013},
year = {2013}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Dooms, S., De Pessemier, T., & Martens, L. (2013). MovieTweetings: Movie Ratings Tweeted from IMDb [Data set]. https://movietweetings.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Dooms, Simon, et al. MovieTweetings: Movie Ratings Tweeted from IMDb. 2013, movietweetings.echo.directory/.