Despite the positive aspects of social media, one major disadvantage of social media is the fast spread misinformation through it. It is important to timely identify such misinformation. As manual identification would be laborious and tedious, automatic identification of misinformation is required.
No conspiracies - A tool to identify social media posts spreading conspiracies
Despite the positive aspects of social media, one major disadvantage of social media is the fast spread misinformation through it. It is important to timely identify such misinformation. As manual identification would be laborious and tedious, automatic identification of misinformation is required. This project will enable us to detect misinformation on Twitter. It will be useful as it will help audience from being misled by the misinformation and help them to check the authenticity of posts on twitter. This project will be helpful for the normal users to check posts for their authenticity, in addition it will be helpful for the NGOs, governmental and security institutions to automatically detect misinformation in time and guide the public about it. This problem will be solved using machine learning models. The application will be provided with labelled dataset about misinformation and it will use machine leaning models and will generate results showing authenticity of posts in form of trend graphs, word cloud and other demographics. Development of the project will be done using python and its lightweight framework Flask.
Software Implementation
Software implementation includes development of the responsive web application that will provide information related to fake new conspiracies. Application will understand the labelled dataset provided by the user, perform analysis on it, gather tweets related to dataset from twitter. Application will allow the user to check trends of tweet on twitter or train different machine learning models on dataset, show different graphs, word clouds and demographics of trending tweets.
These are benefits of my project:
Application will provide the facility to get the analyzed reports on tweets in form of graphs, word cloud, charts
The technical deliverables for this project can be split into two parts.
Documentation
Project documentation contains the requirements, project understanding, diagrams and user interface prototype with a test document.
Software Deliverable
Software Deliverable includes an easy to use application to detect misinformation on Twitter
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Travelling | Miscellaneous | 1 | 2000 | 2000 |
| Printing | Miscellaneous | 1 | 5000 | 5000 |
| Stationary | Miscellaneous | 1 | 2000 | 2000 |
| Overheads | Miscellaneous | 1 | 1000 | 1000 |
| GPU | Equipment | 1 | 35000 | 35000 |
| RAM | Equipment | 1 | 35000 | 35000 |
| Total in (Rs) | 80000 |
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