TweetInfo: An Interactive System to Mitigate Online Harm
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910352715808768 |
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| author | Shahi, Gautam Kishore |
| author_facet | Shahi, Gautam Kishore |
| contents | The increase in active users on social networking sites (SNSs) has also observed an increase in harmful content on social media sites. Harmful content is described as an inappropriate activity to harm or deceive an individual or a group of users. Alongside existing methods to detect misinformation and hate speech, users still need to be well-informed about the harmfulness of the content on SNSs. This study proposes a user-interactive system TweetInfo for mitigating the consumption of harmful content by providing metainformation about the posts. It focuses on two types of harmful content: hate speech and misinformation. TweetInfo provides insights into tweets by doing content analysis. Based on previous research, we have selected a list of metainformation. We offer the option to filter content based on metainformation Bot, Hate Speech, Misinformation, Verified Account, Sentiment, Tweet Category, Language. The proposed user interface allows customising the user's timeline to mitigate harmful content. This study present the demo version of the propose user interface of TweetInfo. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_01646 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | TweetInfo: An Interactive System to Mitigate Online Harm Shahi, Gautam Kishore Social and Information Networks Human-Computer Interaction Information Retrieval The increase in active users on social networking sites (SNSs) has also observed an increase in harmful content on social media sites. Harmful content is described as an inappropriate activity to harm or deceive an individual or a group of users. Alongside existing methods to detect misinformation and hate speech, users still need to be well-informed about the harmfulness of the content on SNSs. This study proposes a user-interactive system TweetInfo for mitigating the consumption of harmful content by providing metainformation about the posts. It focuses on two types of harmful content: hate speech and misinformation. TweetInfo provides insights into tweets by doing content analysis. Based on previous research, we have selected a list of metainformation. We offer the option to filter content based on metainformation Bot, Hate Speech, Misinformation, Verified Account, Sentiment, Tweet Category, Language. The proposed user interface allows customising the user's timeline to mitigate harmful content. This study present the demo version of the propose user interface of TweetInfo. |
| title | TweetInfo: An Interactive System to Mitigate Online Harm |
| topic | Social and Information Networks Human-Computer Interaction Information Retrieval |
| url | https://arxiv.org/abs/2403.01646 |