Summary of Nlp Case Study on Predicting the Before and After Of the Ukraine-russia and Hamas-israel Conflicts, by Jordan Miner and John E. Ortega
NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts
by Jordan Miner, John E. Ortega
First submitted to arxiv on: 8 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed method utilizes natural language processing (NLP) to predict toxicity and other textual attributes in social media discourse surrounding recent conflicts, including the Ukraine-Russia and Hamas-Israel events. The approach involves compiling datasets from Twitter and Reddit, separating them into “before” and “after” segments, and employing advanced NLP techniques to identify patterns and make predictions. The results show a noticeable difference in social media discussion leading up to and following a conflict, with an accuracy of nearly 1.2% in predicting toxicity and other attributes. This work aims to provide a foundation for future research on mitigating risk by analyzing social media before and after conflicts begin. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper uses special computer programs to understand what people are saying online during times of conflict. It looks at how people talk about the Ukraine-Russia and Hamas-Israel wars on Twitter and Reddit, both before and after the fighting starts. The goal is to figure out if there’s a way to predict when conflicts might happen by looking at what people are saying online. The results show that there are differences in what people say before and during a conflict, and that it’s possible to use this information to make predictions about what will happen next. |
Keywords
» Artificial intelligence » Discourse » Natural language processing » Nlp
