### CALL FOR PAPERS
Special Issue on "Social Media Sensing: Methodologies and Applications"
Online social media (OSM) platforms are becoming one of the most
effective tools of communication among people thanks to the fact that
more than half of the world’s population are active OSM users. Thanks to
the support supplied by OSM platforms, media can travel around the world
at lightning speed. OSM can be employed for numerous purposes, including
sharing news, providing a personal opinion on a subject, entertaining or
educating oneself, and much more.
Therefore, it comes as no surprise that OSM sensing can be used as a
source of data to understand people’s opinions as a whole. For example,
a company may decide to conduct a series of studies concerning how
customers see their products.
On top of that, real-time OSM sensing can also be helpful in critical
scenarios, such as in disaster or emergency response. Since OSM sensing
is a relatively new topic, many challenges remain unsolved, and a lot
more can be achieved, both in terms of methodologies and applications.
Additionally, OSM sensing has some significant implications concerning
how user privacy is managed and other ethical concerns.
This Special Issue aims to put together original research and review
articles on recent advances, technologies, solutions, applications, and
new challenges in the field of Social Media Sensing.
Topics of interest include, but are not limited to:
- Sensing in social media;
- Social sensing methodologies;
- Truth discovery and fake news detection;
- Business intelligence;
- Chatbot and Chatscripts;
- Emotion recognition;
- Artificial intelligence;
- Privacy issues of social sensing;
- Ethics of social sensing;
- Event forecasting;
- Sentiment analysis;
- Social graph analysis;
- Text analytics;
- Economics and social effects;
- Ubiquitous and pervasive crowd-sensing;
- Semantic web;
- Reputation and trust;
### Submission Guidelines
Prospective authors should prepare their submissions in accordance with
the rules specified in the Author guidelines provided here:
To submit the paper to this special issue, please refer to the
instructions provided here:
### Article Processing Charges
All articles published in Sensors are published in full open access.
Find more information about APC here:
Submission Deadline: 28 February 2023
Prof. Barbara Guidi
University of Pisa, Italy
Dr. Andrea Michienzi
University of Pisa, Italy
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