ucsd-cse-spis-2016 / YouTube-Clickbait-Predictor

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spis16-project-planning-datamining-Jose-Ryan

Names, Area, Mentor

Jose R. Ryan L., Data Mining, Mentor: Jasper

#Brief Description

Plan to determine elements that makes a video "clickbait", design program that allows user to enter video title to determine potential to be clickbait.

#Stages

Stage 1: Pick a set of videos from a certain time period and scrape the views and dislikes from each video. Determine threshold for clickbait based on the ratio of dislikes/views.

Stage 2: Separate "regular" videos and "clickbait" videos. Determine which words are associated with clickbait videos.

Stage 3: Look at other factors of the video (duration, category, comments) that might associate with clickbait vidoes.

Stage 4: Design program that allows users to input a video title and returns the "clickbait potential" that that title has.

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