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Datasets from the paper "Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community", presented at the 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). The dataset consists in 2 files: tweets.csv: This file contains the ids of the tweets and the user that published the tweet. df_users_seeds.csv: This file contains a table were the first field is the user id; the other columns indicate the seed number and if the user follows that seed (1) or not (0)
This research has been supported by the EU under Malicious actors profiling and detection in Online Social Networks through Artificial Intelligence (MARTINI) project (CHIST-ERA-21-OSNEM-004) and by the Spanish Ministry of Science and Education under FightDIS (PID2020-117263GB-100) and XAI-Disinfodemics (PLEC2021007681) grants.
pick-up artist, misogyny, manosphere
pick-up artist, misogyny, manosphere
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 12 | |
| downloads | 6 |

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