Special Issue on Natural Language Processing (NLP) technologies for the analysis of online social behavior.

https://www.mdpi.com/journal/information/special_issues/MCA1E7LC2J

Natural language processing has seen tremendous progress in recent years and many technologies can be applied and adopted to social media discourse. This Special Issue will collect contributions from diverse domains that leverage NLP technologies for relevant questions regarding human behavior.

Potential topics that could be explored in this Special Issue include the following:

1. How can NLP be used to analyze social media posts and comments related to social issues like climate change? What insights can be gained into public opinion and sentiment on these topics? 2. How can NLP be used to analyze social media data related to everyday life, such as conversations about food, travel, or hobbies? What can be learned about human behavior and preferences through this type of analysis? 3. How can NLP be used to analyze social media data related to political attitudes and behaviors? What insights can be gained into how people engage with politics online? 4. How can NLP be used to analyze social media data related to discourse behavior, such as online debates, discussions, and arguments? What can be learned about how people engage with each other online and how this relates to offline interactions? 5. How can NLP be used to analyze social media data related to negative impacts, such as hate speech, cyberbullying, online harassment, or the spread of misinformation? What insights can be gained into the causes and consequences of these phenomena?

These are just a few examples of the many potential topics that could be explored in this Special Issue. I am sure there are many more exciting areas of research that could be explored through the application of NLP technologies to social media discourse.

What are some of the specific research questions or topics that you'd like to see explored in this Special Issue?

Some discounts for the APC are available

Prof. Dr. Thomas Mandl /Guest Editor/

https://www.mdpi.com/journal/information/special_issues/MCA1E7LC2J