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
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