Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model (P18-2)
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| Challenge: | Existing work on predicting popularity of online petitions based on initial popularity trajectory has focused on estimating the number of signatures a petition gets in the first x hours, and predicting the total number of signed petitions at the end of its lifetime. |
| Approach: | They propose a CNN-based model to predict the popularity of a petition based on its textual content and use it to model the influence of other petition signers. |
| Outcome: | The proposed model is based on UK and US government petition datasets and is compared with previous work on predicting popularity over time based upon initial popularity trajectory. |
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