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Part 1: Document Description
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Citation |
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Title: |
MeTooMA |
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Identification Number: |
doi:10.7910/DVN/JN4EYU |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2019-09-14 |
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Version: |
3 |
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Bibliographic Citation: |
Kumar Gautam, Akash, 2019, "MeTooMA", https://doi.org/10.7910/DVN/JN4EYU, Harvard Dataverse, V3, UNF:6:vCKHLJcc/RFRvyBxuc/SKw== [fileUNF] |
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Citation |
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Title: |
MeTooMA |
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Subtitle: |
Multi-Aspect Annotations of Tweets Related to the MeToo movement |
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Identification Number: |
doi:10.7910/DVN/JN4EYU |
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Authoring Entity: |
Kumar Gautam, Akash (MIDAS, IIIT-Delhi) |
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Producer: |
Akash Kumar Gautam |
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Date of Production: |
2019-12-14 |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Kumar Gautam, Akash |
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Depositor: |
Kumar Gautam, Akash |
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Date of Deposit: |
2019-09-14 |
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Date of Distribution: |
2020-06-8 |
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Holdings Information: |
https://doi.org/10.7910/DVN/JN4EYU |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, Engineering, Social Sciences, MeToo movement, Social Media, Twitter |
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Topic Classification: |
Social Media, Sexual Harrasment, Sarcasm, Hate Speech |
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Abstract: |
The 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> |
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Kind of Data: |
Tweet ID's and labels. Please refer to associated publication for more details. |
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Notes: |
Please refer to these conditions for the usage and distribution of this dataset. <li> The dataset should be used for scientific or research purposes only. Any other use of the dataset is strictly prohibited. </li> <li> The dataset should not be redistributed or shared in any part with any third-party organization. Interested parties should be redirected to this website.</li> <li> The dataset collection completely follows the Twitter mandated guidelines for distribution and usage. </li> <li> The language all the tweets included in the dataset is English </li> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
@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} } |
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Bibliographic Citation: |
@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} } |
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File Description--f3582048 |
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File: MeTooMA.tab |
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Notes: |
UNF:6:vCKHLJcc/RFRvyBxuc/SKw== |
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List of Variables: |
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Variables |
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f3582048 Location: |
Summary Statistics: Max. 1.07464969088340378E18; Mean 1.05277898622540672E18; Min. 1.04849821762791834E18; StDev 2.6063064672513445E15; Valid 9973.0 Variable Format: numeric Notes: UNF:6:F2yKUBU08VxXM92HNcFtCw== |
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f3582048 Location: |
Variable Format: character Notes: UNF:6:RxH9Kttk4lvVMuBZ3s2XuQ== |
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f3582048 Location: |
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f3582048 Location: |
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f3582048 Location: |
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f3582048 Location: |
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Label: |
README.rtf |
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Notes: |
text/rtf |