*Apologies for cross-posting*
*Special Issue on Language Technology for Safer Online Social Media
Platforms in Low-resource Eurasian Languages *
Link:
https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang…
* Aims, Scope and Objective of Special Issue: *
Our everyday lives have become more reliant on online platforms. Social
media (Facebook, Twitter, Instagram), discussion websites (Reddit),
messaging services (WhatsApp, Snapchat), blogs, forums, and online chats
have all been used to spread ideas and data. Without a doubt, social media
platforms like Facebook, Twitter, and Instagram benefit society by enabling
individuals to express themselves and seek support from others in the
online community. Additionally, these platforms have an unmistakable wrong
side: cyberbullying, cyberstalking, cyberterrorism, e-bile, fake news,
flaming, hate speech, impersonation, pornography, glorification of
dangerous behavior (e.g., eating disorders), and trolling. Various news
sites in recent years have recorded numerous incidences of suicide, grief,
and fear. Additionally, although individuals from many linguistic origins
are exposed to online social media, English remains at the forefront of
continuing advances in language technology research. Recently, several
study investigations on highly resourced languages, such as Arabic, German,
Hindi, and Italian, have been done. However, more research on making social
media platforms safer in low-resource Eurasian languages is still needed.
This special issue aims to gather original research articles that add to
the body of knowledge about the use of intelligent natural language systems
to build a safer social media environment in low-resource Eurasian
languages.
Topics Among the special issue's topics of interest are the following: -
• Early detection of radicalization in low-resource Eurasian languages
• Mechanisms for recognizing and preventing cyber predators in
low-resource Eurasian languages
• Identifying and resolving hate speech (abusive language, cyberbullying,
etc.) in low-resource Eurasian languages
• Simulated propagation and transmission of potentially harmful information
via social media in low-resource Eurasian languages
• Data collection and annotation methodologies for to safer social media in
low resourced Eurasian languages • Content moderation strategies in
low-resource Eurasian languages
• Cybersecurity and social media in low-resource Eurasian languages
• Fake news detection in low-resource Eurasian languages
* Important Dates • Submissions deadline: 10 February 2023 *
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
School of Computer Science, University of Galway
Insight SFI Research Centre for Data Analytics, Data Science Institute,
University of Galway
E-mail: bharathiraja.akr(a)gmail.com ,
bharathiraja.asokachakravarthi(a)universityofgalway.ie
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Special Issue on Language Technology for Safer Online Social Media
Platforms in Low-resource Eurasian Languages
<https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang…>
Hi
This is the last call for application to ALPS 2023 winter school.
We extended the deadline to Sept 30th 2022
Our list of invited speakers has also been updated and it is awesome !
See more on [ http://alps.imag.fr/ | http://alps.imag.fr ]
Laurent
Dear all,
I'm a big fan of lig-aikuma, which allowed us to collect key data in remote
regions in Bolivia, and recommended it to a team member who is heading back
there in a week. But only today we realized it doesn't work with the
android version in the phone that's being taken to the field.
I wonder if any of you know of something that works like lig-aikuma,
allowing us to provide the app with:
- a list of texts to be shown on the screen, & collect the audio while
the informant reads the text;
- a list of sound files that can be listened to, & collect the audio
while the informant repeats what they heard (or discusses it)
I read about ODK & jotforms mobile, which may be programmable to have those
functionalities, but I'm hoping we don't need to develop this in a rush. So
if you've used them to do one or the both above, we'd be grateful if we can
take a peek at your code.
Your help will be greatly appreciated!
-Alex
---------------------------------------------------------------
Alex (Alejandrina) Cristia
Researcher, CNRS
Laboratoire de Sciences Cognitives et Psycholinguistique
29, rue d'Ulm, 75005, Paris, FRANCE
My site: www.acristia.org
---------------------------------------------------------------
If you donate, ask me about effective charities
<https://effectivealtruism.us8.list-manage.com/track/click?u=52b028e7f799cca…>.
/ Si vous faites des dons, demandez moi sur le don efficace
<https://www.altruismeefficacefrance.org/guide-don-efficace-1/>.
Dear colleagues,
Can you please forward this opportunity broadly in your network? We are
particularly inviting applications by folks from under-represented
backgrounds, who thrive in our team!
Thank you in advance,
Alex
*Short summary: *We are looking for someone with experience with deep
learning, ideally using scikit-learn & pytorch, to join our technical team.
We specialize in long-form audio-recordings, and your job will be to
design, fine-tune, and evaluate neural networks on such data. French is NOT
required - our team works in English!
For more details see
https://emploi.cnrs.fr/Offres/CDD/UMR8554-ALECRI1-001/Default.aspx?lang=EN
---------------------------------------------------------------
Alex (Alejandrina) Cristia
Researcher, CNRS
Laboratoire de Sciences Cognitives et Psycholinguistique
29, rue d'Ulm, 75005, Paris, FRANCE
My site: www.acristia.org
---------------------------------------------------------------
If you donate, ask me about effective charities
<https://effectivealtruism.us8.list-manage.com/track/click?u=52b028e7f799cca…>.
/ Si vous faites des dons, demandez moi sur le don efficace
<https://www.altruismeefficacefrance.org/guide-don-efficace-1/>.
FIRST CALL FOR PARTICIPATION
Advanced Language Processing School (ALPS)
January, 16-20 2023
Virtual Event
We are opening the registration for the third Advanced Language Processing School (ALPS), co-organized by University Grenoble Alpes and Naver Labs Europe.
*Target Audience*
This is a winter school covering advanced topics in NLP, and we are primarily targeting doctoral students and advanced (research) masters. A few slots will also be reserved for academics and persons working in research-heavy positions in industry.
*Characteristics*
Advanced lectures by first class researchers. A (virtual) atmosphere that fosters connections and interaction. A poster session for attendees to present their work, gather feedback and brainstorm future work ideas.
*Speakers*
The current list of speakers is: Kyunghyun Cho (New York University, USA); Yejin Choi (University of Washington and Allen Institute for AI, USA); Dirk Hovy (Bocconi University, Italia); Colin Raffel (University of North Carolina at Chapel Hill, Hugging Face, USA); Lucia Specia (Imperial College, UK), François Yvon (LISN/CNRS, France).
*Application*
To apply to this winter school, please follow the instructions at [ http://alps.imag.fr/index.php/application/ | http://alps.imag.fr/index.php/application/ ] . The deadline for applying is Sept 16th, and we will notify acceptance on October 3rd.
*Contact*
Website: [ http://alps.imag.fr/ | http://alps.imag.fr/ ] E-mail: [ mailto:alps@univ-grenoble-alpes.fr | alps(a)univ-grenoble-alpes.fr ]