Ethiopian News Advisor: Collaborative Web News Ranking
[ UUID ] 4039c969-b03a-4a4b-b82c-51dc8dcbb3dd
[ Session Name ] Ethiopian News Advisor: Collaborative Web News Ranking [ Primary Space ] Web Literacy [ Secondary Space ] Openness
[ Submitter's Name ] Melkamu Beyene [ Submitter's Affiliated Organisation ] Addis Ababa University [ Submitter's GitHub ] https://github.com/melkamu-beyene/Code-contribution
[ Other Facilitator 1's Name ] Abreham Gedamu
What will happen in your session?
A list of top news/posts will be extracted from social networking sites. A group of people from the session will be asked to rate the trustworthiness of each news. These people will be assigned a weight indicating their level of importance in the network. This can simulate the network of strong and committed community of users and experts that collaboratively rate the trust worthiness of certain news in Ethiopia. Once, they rate every news, the importance of it will be calculated as a weighted sum of the raters importance times the rating provided for it. This can demonstrate the fact that fake news can be detected by collaboration of users.
What is the goal or outcome of your session?
Social Media becomes a mean of sharing information, news and opinions among Ethiopians and the number users, particularly Facebook is increasing. The propagation and spread of deliberately fabricated, misleading, fake, false information by individuals or groups in favor of political or economic advantages are some of the practical problems observed.There are numerous users engaged in fueling disputes among people with different ethnic groups or religion. The situation becomes a threat for peaceful coexistence of the people in Ethiopia. This was the only reason that motivate this session. Thus, we use this opportunity to demonstrate the proposed idea and receive feedback on how to proceed further.
If your session requires additional materials or electronic equipment, please outline your needs.
Laptop or smart phone to install the sample application is necessary.
Time needed
60 mins