MeTooMAhttps://doi.org/10.7910/DVN/JN4EYUKumar Gautam, AkashHarvard Dataverse2019-09-142020-11-25T23:56:03ZThe dataset consists of tweets belonging to #MeToo movement on Twitter, labelled into different categories. Due to Twitter's development policies, we only provide the tweet ID's and corresponding labels, other data can be fetched via Twitter API. The data has been labelled by experts, with the majority taken into the account for deciding the final label. We provide these labels for each of the tweets. <li>Relevance</li> <li>Directed Hate</li> <li>Generalized Hate</li> <li>Sarcasm</li> <li>Allegation</li> <li>Justification</li> <li>Refutation</li> <li>Support</li> <li>Oppose</li> There could be more than one label applicable for a single tweet, for detailed annotation information and usage guidelines please refer to the accompanying paper <b>https://aaai.org/ojs/index.php/ICWSM/article/view/7292</b>Arts and HumanitiesComputer and Information ScienceEngineeringSocial SciencesMeToo movementSocial MediaTwitterEnglish@inproceedings{gautam2020metooma, title={\# MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement}, author={Gautam, Akash and Mathur, Puneet and Gosangi, Rakesh and Mahata, Debanjan and Sawhney, Ramit and Shah, Rajiv Ratn}, booktitle={Proceedings of the International AAAI Conference on Web and Social Media}, volume={14}, pages={209--216}, year={2020} }, https://aaai.org/ojs/index.php/ICWSM/article/view/72922019-12-14Kumar Gautam, Akash2019-09-14Tweet ID's and labels. Please refer to associated publication for more details.CC0 1.0