| dc.contributor.advisor | Andrew Sliwinski and Mitch Resnick. | en_US |
| dc.contributor.author | Tan, Flora, M. Eng. Massachusetts Institute of Technology | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2018-01-12T20:55:22Z | |
| dc.date.available | 2018-01-12T20:55:22Z | |
| dc.date.copyright | 2017 | en_US |
| dc.date.issued | 2017 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/113097 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 61-64). | en_US |
| dc.description.abstract | The moderation of harassment and cyberbullying on online platforms has become a heavily publicized issue in the past few years. Popular websites such as Twitter, Facebook, and YouTube employ human moderators to moderate user-generated con- tent. In this thesis, we propose an automated approach to the moderation of online conversational text authored by children on the Scratch website, a drag-and-drop programming interface and online community. We develop a corpus of children's comments annotated for inappropriate material, the first of its kind. To produce the corpus of data, we introduce a comment moderation website that allows for the review and label of comments. The web-tool acts as a data-pipeline, designed to keep the machine learning models up to date with new forms of inappropriate content and to reduce the need for maintaining a blacklist of profane words. Finally, we apply natural language processing and machine learning techniques towards detecting inappropriate content from the Scratch website, achieving an F1-score of 73%. | en_US |
| dc.description.statementofresponsibility | by Flora Tan. | en_US |
| dc.format.extent | 64 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Algorithmically supported moderation in children's online communities | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 1016158424 | en_US |
