Summary of Maintaining Journalistic Integrity in the Digital Age: a Comprehensive Nlp Framework For Evaluating Online News Content, by Ljubisa Bojic et al.
Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News Content
by Ljubisa Bojic, Nikola Prodanovic, Agariadne Dwinggo Samala
First submitted to arxiv on: 7 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 paper proposes a comprehensive framework to analyze online news texts using natural language processing (NLP) techniques, combining a specifically trained language model with established NLP methods. The framework assesses news articles’ quality based on ten journalism standards, including objectivity, balance, and factual accuracy. This enables researchers, media organizations, and readers to evaluate and understand the content they consume and produce. While the method has limitations, such as detecting subtle biases and requiring continuous updates for evolving language patterns. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper helps us figure out how good or bad news articles are on the internet. It uses special computer tools called NLP techniques to analyze the articles. The tool looks at 10 important things that make a news article good or bad, like if it’s fair and true. This makes it easier for people who write news, read news, or want to understand what’s in the news. However, there are some problems with this method, like being able to spot when someone is trying to trick you, and needing to update the tool often. |
Keywords
* Artificial intelligence * Language model * Natural language processing * Nlp
