MM-INTEREST Archives

ACM SIGMM Interest List

MM-INTEREST@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Michienzi Andrea <[log in to unmask]>
Reply To:
Michienzi Andrea <[log in to unmask]>
Date:
Tue, 21 Jun 2022 22:10:43 +0200
Content-Type:
text/plain
Parts/Attachments:
text/plain (91 lines)
### CALL FOR PAPERS
Special Issue on "Social Media Sensing: Methodologies and Applications"
MDPI Sensors


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;
- Nowcasting.

### Submission Guidelines
Prospective authors should prepare their submissions in accordance with 
the rules specified in the Author guidelines provided here: 
https://www.mdpi.com/journal/sensors/instructions
To submit the paper to this special issue, please refer to the 
instructions provided here: 
https://www.mdpi.com/journal/sensors/special_issues/Social_Media_Sensing

### Article Processing Charges
All articles published in Sensors are published in full open access. 
Find more information about APC here: 
https://www.mdpi.com/journal/sensors/apc


Submission Deadline: 28 February 2023

Guest Editors
Prof. Barbara Guidi
University of Pisa, Italy

Dr. Andrea Michienzi
University of Pisa, Italy

############################

Unsubscribe:

[log in to unmask]

If you don't already have a password for the LISTSERV.ACM.ORG server, we recommend
that you create one now. A LISTSERV password is linked to your email
address and can be used to access the web interface and all the lists to
which you are subscribed on the LISTSERV.ACM.ORG server.

To create a password, visit:

https://LISTSERV.ACM.ORG/SCRIPTS/WA-ACMLPX.CGI?GETPW1

Once you have created a password, you can log in and view or change your
subscription settings at:

https://LISTSERV.ACM.ORG/SCRIPTS/WA-ACMLPX.CGI?SUBED1=MM-INTEREST

ATOM RSS1 RSS2