five

Twitch Plays Pokemon Dataset

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://zenodo.org/record/3932956
下载链接
链接失效反馈
官方服务:
资源简介:
The dataset, titled the Twitch Plays Pokemon Dataset, contains 37.8 million IRC chat messages. It contains IRC chat log data for messages made between February 2, 2014 and April 23, 2014 (68 days). Each line denotes a single IRC chat message. Sample of the dataset: 2014-02-1408:17:32medicbluea 2014-02-1408:17:32murderousburgerrare candy, RARE CANDY 2014-02-1408:17:32milk2978B 2014-02-1408:17:32mrtiktalikb 2014-02-1408:17:32dualhammersb 2014-02-1408:17:32shares5YES 2014-02-1408:17:32orangeruststart 2014-02-1408:17:32snowieea 2014-02-1408:17:33duroatedown 2014-02-1408:17:33crypticcraigup 2014-02-1408:17:33doug2725LOL HELIX FOSSIL WENT BACK THAT FAR Abstract With the increasing importance of online communities, discussion forums, and customer reviews, Internet “trolls” have proliferated thereby making it difficult for information seekers to find relevant and correct information. In this paper, we consider the problem of detecting and identifying Internet trolls, almost all of which are human agents. Identifying a human agent among a human population presents significant challenges compared to detecting automated spam or computerized robots. To learn a troll’s behavior, we use contextual anomaly detection to profile each chat user. Using clustering and distance-based methods, we use contextual data such as the group’s current goal, the current time, and the username to classify each point as an anomaly. A user whose features significantly differ from the norm will be classified as a troll. We collected 38 million data points from the viral Internet fad, Twitch Plays Pokemon. Using clustering and distance-based methods, we develop heuristics for identifying trolls. Using MapReduce techniques for preprocessing and user profiling, we are able to classify trolls based on 10 features extracted from a user’s lifetime history. You can view the full technical paper here: https://arxiv.org/abs/1902.06208 Source Code Code related to this dataset can be found at: https://github.com/ahaque/twitch-troll-detection
创建时间:
2020-07-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作