Difference between revisions of "Projects:2021s1-13291 Automated Content Moderation"
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Open source intelligence refers to information or data that is legally derived from publicly available sources. Within the context of social media, many such items of open source data exist including images, videos and text. The use of this media however, carries a level of risk. Within the context of material uploaded by unknown individuals, exposure to content which is not safe for work can often result. Platforms, as a result, must employ algorithms to process media to detect explicit media in order to remove posts which violate the law and standards or expectations of the community. For the investigator, automatic classification often has the opposite requirement. Rather than removing extreme content, we wish to isolate for further study and possible action on behalf of law enforcement. In this project an analysis of current machine learning and signal processing methods will be conducted to create an effective system capable of extracting, filtering, flagging and storing content from social media sites such as Snapchat, TikTok, Facebook and Reddit. | Open source intelligence refers to information or data that is legally derived from publicly available sources. Within the context of social media, many such items of open source data exist including images, videos and text. The use of this media however, carries a level of risk. Within the context of material uploaded by unknown individuals, exposure to content which is not safe for work can often result. Platforms, as a result, must employ algorithms to process media to detect explicit media in order to remove posts which violate the law and standards or expectations of the community. For the investigator, automatic classification often has the opposite requirement. Rather than removing extreme content, we wish to isolate for further study and possible action on behalf of law enforcement. In this project an analysis of current machine learning and signal processing methods will be conducted to create an effective system capable of extracting, filtering, flagging and storing content from social media sites such as Snapchat, TikTok, Facebook and Reddit. | ||
=== Introduction === | === Introduction === | ||
| + | Everyday people all around the word share their daily lives to people via their social media. In this day and age, a majority of the world’s population has access to the internet and social media. Due to this, many people are exposed to unfiltered content, where things can become viral in a matter of minutes whether they be illegal or not. The society needs to find a way to automate this regulation process. To take this one step future this project researches how to take this data, store and use it for law enforcement purposes. Having this in sight there are the following main questions: | ||
| + | - Can open-source media provide for a constant surveillance mechanism? | ||
| + | - How to use social media to prevent/reprimand actions of individuals? | ||
| + | - How to store large quantities of data for long periods of time whist preventing degradation of information. | ||
=== Project team === | === Project team === | ||
Revision as of 15:00, 13 April 2021
Open source intelligence refers to information or data that is legally derived from publicly available sources. Within the context of social media, many such items of open source data exist including images, videos and text. The use of this media however, carries a level of risk. Within the context of material uploaded by unknown individuals, exposure to content which is not safe for work can often result. Platforms, as a result, must employ algorithms to process media to detect explicit media in order to remove posts which violate the law and standards or expectations of the community. For the investigator, automatic classification often has the opposite requirement. Rather than removing extreme content, we wish to isolate for further study and possible action on behalf of law enforcement. In this project an analysis of current machine learning and signal processing methods will be conducted to create an effective system capable of extracting, filtering, flagging and storing content from social media sites such as Snapchat, TikTok, Facebook and Reddit.
Contents
Introduction
Everyday people all around the word share their daily lives to people via their social media. In this day and age, a majority of the world’s population has access to the internet and social media. Due to this, many people are exposed to unfiltered content, where things can become viral in a matter of minutes whether they be illegal or not. The society needs to find a way to automate this regulation process. To take this one step future this project researches how to take this data, store and use it for law enforcement purposes. Having this in sight there are the following main questions:
- Can open-source media provide for a constant surveillance mechanism? - How to use social media to prevent/reprimand actions of individuals? - How to store large quantities of data for long periods of time whist preventing degradation of information.
Project team
Project students
- <Linyu Xu>
- <Sanjana Tanuku>
- <Siyu Wang>
Supervisors
- <Matthew Sorell>
- <Richard Matthews>
Objectives
The objective of the project is to create an effective system capable of extracting, filtering, flagging and storing unsafe content from social media sites such as Snapchat, TikTok, Facebook and Reddit.
Background
Topic 1
Method
Results
Conclusion
References
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.
[2] ...
