21st PAN Challenge on Author Analysis: Fake News, Celebrities, and (Multi-)Authorship.
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Matti Wiegmann
Feb 7, 2020, 1:33:23 PM2/7/20
to PAN Workshop Series on Digital Text Forensics
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PAN 2020: Call for Participation
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We invite you to take part in the following shared tasks:
1. Authorship Verification
Given two documents, determine if they are written by the same author.
2. Celebrity Profiling
Given the Twitter feeds of the followers, determine the occupation, age, and gender of a celebrity.
3. Profiling Fake News Spreaders on Twitter
Given a Twitter feed, determine whether its author is keen to be a spreader of fake news.
4. Style Change Detection
Given a document, determine how many authors have collaborated.
Learn more at https://pan.webis.de/clef20/pan20-web/index.html
PAN is held in conjunction with the CLEF'20 conference in Thessaloniki, Greece.
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Important Dates
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now open Registration
Mar 31, 2020 Early bird software submission
Apr 28, 2020 Final software submission
May 24, 2020 Notebook submission
June 28, 2020 Camera-ready participant papers submission
Sep 22-25, 2020 Conference
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Special Announcements
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PAN Open Source Proceedings
PAN hosts a growing collection of software developed by previous participants at GitHub: https://github.com/pan-webis-de
We invite you to publish your software here, too.
Software submissions.
After a great success with more than 400 submitted software from previous years, we are happy to announce that we will continue our initiative to invite software submissions using TIRA.
Ruan Bahia
Feb 27, 2020, 3:49:38 AM2/27/20
to PAN Workshop Series on Digital Text Forensics
Hello Matti,
I've registered for participation in PAN via the Google Forms last month, but I'm not sure when and where the shared tasks data is gonna be available.
So far I've not received any email as follow up to the registration.
Martin Potthast
Feb 27, 2020, 4:10:33 AM2/27/20
to pan-workshop-series
Dear Ruan,
we are finishing up the datasets for the respective tasks as we speak
and will upload them to Zenodo soon.
When that is done, we'll send a mail to let you know.
Best,
Martin
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--
Jun-Prof. Dr. Martin Potthast
Leipzig University
Germany
+49 341 97 32382
+49 171 809 1945
leipzig.webis.de
we are finishing up the datasets for the respective tasks as we speak
and will upload them to Zenodo soon.
When that is done, we'll send a mail to let you know.
Best,
Martin
> --
> You received this message because you are subscribed to the Google Group "PAN".
> Visit this group at http://groups.google.com/group/pan-workshop-series
> To unsubscribe send email to pan-workshop-se...@googlegroups.com.
> ---
> You received this message because you are subscribed to the Google Groups "PAN Workshop Series on Digital Text Forensics" group.
> To unsubscribe from this group and stop receiving emails from it, send an email to pan-workshop-se...@googlegroups.com.
> To view this discussion on the web visit https://groups.google.com/d/msgid/pan-workshop-series/498e4b12-cb60-4571-ab53-379a3d547ffb%40googlegroups.com.
--
Jun-Prof. Dr. Martin Potthast
Leipzig University
Germany
+49 341 97 32382
+49 171 809 1945
leipzig.webis.de
Paolo Rosso
Mar 3, 2020, 6:04:33 AM3/3/20
to pan-works...@googlegroups.com
Hi everybody
Apologies for not replying to some of you that asked about when the
training dataset of this
year's author profiling shared task would have been released.
It is already available since few days at:
https://zenodo.org/record/3692319#.Xlzr1yFKiUk
Looking forward to see your runs
Paolo & the rest of the fake (news spreaders) gang
Apologies for not replying to some of you that asked about when the
training dataset of this
year's author profiling shared task would have been released.
It is already available since few days at:
https://zenodo.org/record/3692319#.Xlzr1yFKiUk
Looking forward to see your runs
Paolo & the rest of the fake (news spreaders) gang
Paolo Rosso
Mar 25, 2020, 9:28:17 AM3/25/20
to pan-works...@googlegroups.com
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
DSAA2020 Special Session
FAKE NEWS, BOTS AND TROLLS
https://sites.google.com/view/fake-news-bots-trolls
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
We remain optimistic that our Special Session will proceed as planned
at the beginning of October in Sydney, Australia. However, due to
ongoing uncertainty about future travel due to COVID-19, DSAA’2020
commits to allowing video presentations of accepted papers by authors
who are unable to attend due to COVID-19 travel restrictions. We look
forward to your submissions.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
Fake news has become one of the main threats to our society. Although
fake news is not a new phenomenon, the exponential growth of social
media has offered an easy platform for its fast and wide propagation.
The threat is even greater when fake news dissemination has a
political or an ideological purpose, as it happens during electoral
campaigns or during extreme events able to endanger political regimes,
such as epidemics. Bots are commonly related to fake news spreading.
They can artificially inflate the popularity of an opinion or a
political candidate, as well as undermine the reputation of a targeted
politician and hinder an opposing view, by repeatedly spamming
contents produced by disinformation outlets. Other actors of
misbehaviour in social media are trolls that offend people, dominate
online discussions, and in general try to manipulate people's opinion
by triggering hate and anger, with the aim of interfering with the
regular public debate.
In this special session we would like the research community to share
how the above problems need to be addressed from several
interdisciplinary perspectives. Special emphasis will be on how news
broadcasting corporations fact check claims by politicians, public
figures, advocacy groups and institutions engaged in the public
debate; how crowd signals in social media can be used to flag fake
news; how online user activity fingerprints can be leveraged in order
to detect a malicious use of social networks; how pieces of
disinformation spread on social networks; how fake news broadcasters
cooperate to conduct misinformation campaigns; how to design a
semi-automated system that could trace and/or verify news shared
online, helping journalists to identify disinformation.
Topics of interest
Areas of interest include, but are not limited to:
Computational approaches to the following tasks:
Detection of fake news spreaders
Detection of bots and trolls
Identification of information generated by bots and trolls
Patterns in fake news propagation
Credibility assessment of online information and information sources
Detection of polarization in online communities
Multimodal fake news detection
Eary detection of fake news
Fake news prevention, filtering and containment
Analysis/detection of multi-platform fake news spreading
Others:
Measurements and analysis of fake news impact
Resources for journalists for fake news detection
Keynote(s)
To be announced.
Submission
Papers for a special session should be submitted to the special
session track instead of the main conference in the DSAA'2020
submission system. Special session papers strictly follow the same
specifications, requirements and policies as the main conference
submissions in terms of the paper submission deadline, notification
deadline, paper formatting and length, and important policies. The
paper length allowed for the papers is a maximum of ten (10) pages.
The format for the papers is the standard 2-column U.S. letter style
IEEE Conference template. You can find more info here:
http://203.170.84.89/~idawis33/dsaa2020/call-for-papers/
Guidelines about formatting Research and Application tracks papers
apply also to Special Session papers.
Important Dates
Special Session Submission Deadline: 24 May 2020
Special Session Notification: 26 Jul 2020
Organisers
Barrón-Cedeño Alberto, DIT, Università di Bologna, Italy
Giachanou Anastasia, Universitat Politècnica de València, Spain
Koltsova Olessia, National Research University Higher School of
Economics, Russia
Paolo Rosso, Universitat Politècnica de València, Spain
Semeraro Alfonso, Università degli Studi di Torino, Italy
Xiuzhen Jenny Zhang, RMIT University, Australia
Programme committee
Aiello Luca, Bells Labs, London, UK
Carman Mark, Politecnico di Milano, Italy
Ciampaglia Giovanni Luca, University of South Florida, US
De Domenico Manlio, Bruno Kessler Foundation, Italy
Ferres Leo, Universidad de Deserrollo, Santiago de Chile, Chile
Ghanem Bilal, Universitat Politècnica de València, Spain
Gil Hermenegildo, Universitat Politècnica de València, Spain
Koltsov Sergei, National Research University Higher School of
Economics, Russia
Montes y Gómez Manuel, INAOE Puebla, Mexico
Nakov Preslav, Qatar Computing Research Institute, Qatar
Panchenko Alexander, Skoltech University, Russia
Paolotti Daniela, ISI Foundation, Turin, Italy
Ponzetto Simone Paolo, Univesität Mannheim, Germany
Rangel Francisco, Symanto, Germany
Rubin Victoria, University of Western Ontario, Canada
Schifanella Rossano, Università degli Studi di Torino, Italy
Sidorov Grigori, National Polytechnic Institute, Mexico
Stratu Strelet Doina, Universitat Politècnica de València, Spain
Tambuscio Marcella, Austraian Academy of Science, Austria
DSAA2020 Special Session
FAKE NEWS, BOTS AND TROLLS
https://sites.google.com/view/fake-news-bots-trolls
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
We remain optimistic that our Special Session will proceed as planned
at the beginning of October in Sydney, Australia. However, due to
ongoing uncertainty about future travel due to COVID-19, DSAA’2020
commits to allowing video presentations of accepted papers by authors
who are unable to attend due to COVID-19 travel restrictions. We look
forward to your submissions.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
Fake news has become one of the main threats to our society. Although
fake news is not a new phenomenon, the exponential growth of social
media has offered an easy platform for its fast and wide propagation.
The threat is even greater when fake news dissemination has a
political or an ideological purpose, as it happens during electoral
campaigns or during extreme events able to endanger political regimes,
such as epidemics. Bots are commonly related to fake news spreading.
They can artificially inflate the popularity of an opinion or a
political candidate, as well as undermine the reputation of a targeted
politician and hinder an opposing view, by repeatedly spamming
contents produced by disinformation outlets. Other actors of
misbehaviour in social media are trolls that offend people, dominate
online discussions, and in general try to manipulate people's opinion
by triggering hate and anger, with the aim of interfering with the
regular public debate.
In this special session we would like the research community to share
how the above problems need to be addressed from several
interdisciplinary perspectives. Special emphasis will be on how news
broadcasting corporations fact check claims by politicians, public
figures, advocacy groups and institutions engaged in the public
debate; how crowd signals in social media can be used to flag fake
news; how online user activity fingerprints can be leveraged in order
to detect a malicious use of social networks; how pieces of
disinformation spread on social networks; how fake news broadcasters
cooperate to conduct misinformation campaigns; how to design a
semi-automated system that could trace and/or verify news shared
online, helping journalists to identify disinformation.
Topics of interest
Areas of interest include, but are not limited to:
Computational approaches to the following tasks:
Detection of fake news spreaders
Detection of bots and trolls
Identification of information generated by bots and trolls
Patterns in fake news propagation
Credibility assessment of online information and information sources
Detection of polarization in online communities
Multimodal fake news detection
Eary detection of fake news
Fake news prevention, filtering and containment
Analysis/detection of multi-platform fake news spreading
Others:
Measurements and analysis of fake news impact
Resources for journalists for fake news detection
Keynote(s)
To be announced.
Submission
Papers for a special session should be submitted to the special
session track instead of the main conference in the DSAA'2020
submission system. Special session papers strictly follow the same
specifications, requirements and policies as the main conference
submissions in terms of the paper submission deadline, notification
deadline, paper formatting and length, and important policies. The
paper length allowed for the papers is a maximum of ten (10) pages.
The format for the papers is the standard 2-column U.S. letter style
IEEE Conference template. You can find more info here:
http://203.170.84.89/~idawis33/dsaa2020/call-for-papers/
Guidelines about formatting Research and Application tracks papers
apply also to Special Session papers.
Important Dates
Special Session Submission Deadline: 24 May 2020
Special Session Notification: 26 Jul 2020
Organisers
Barrón-Cedeño Alberto, DIT, Università di Bologna, Italy
Giachanou Anastasia, Universitat Politècnica de València, Spain
Koltsova Olessia, National Research University Higher School of
Economics, Russia
Paolo Rosso, Universitat Politècnica de València, Spain
Semeraro Alfonso, Università degli Studi di Torino, Italy
Xiuzhen Jenny Zhang, RMIT University, Australia
Programme committee
Aiello Luca, Bells Labs, London, UK
Carman Mark, Politecnico di Milano, Italy
Ciampaglia Giovanni Luca, University of South Florida, US
De Domenico Manlio, Bruno Kessler Foundation, Italy
Ferres Leo, Universidad de Deserrollo, Santiago de Chile, Chile
Ghanem Bilal, Universitat Politècnica de València, Spain
Gil Hermenegildo, Universitat Politècnica de València, Spain
Koltsov Sergei, National Research University Higher School of
Economics, Russia
Montes y Gómez Manuel, INAOE Puebla, Mexico
Nakov Preslav, Qatar Computing Research Institute, Qatar
Panchenko Alexander, Skoltech University, Russia
Paolotti Daniela, ISI Foundation, Turin, Italy
Ponzetto Simone Paolo, Univesität Mannheim, Germany
Rangel Francisco, Symanto, Germany
Rubin Victoria, University of Western Ontario, Canada
Schifanella Rossano, Università degli Studi di Torino, Italy
Sidorov Grigori, National Polytechnic Institute, Mexico
Stratu Strelet Doina, Universitat Politècnica de València, Spain
Tambuscio Marcella, Austraian Academy of Science, Austria
Paolo Rosso
May 25, 2020, 12:12:20 PM5/25/20
to pan-works...@googlegroups.com
DSAA2020 Special Session
FAKE NEWS, BOTS AND TROLLS
https://sites.google.com/view/fake-news-bots-trolls
Important Dates
FAKE NEWS, BOTS AND TROLLS
https://sites.google.com/view/fake-news-bots-trolls
Special Session Submission Deadline: 1 June 2020 (extended)
Special Session Notification: 26 Jul 2020
Special issue
Top-quality papers accepted at the DSAA2020 conference will be
selected for extension and invited to the special issues
of the International Journal of Data Science and Analytics (JDSA,
Springer) and some other journals DSAA2020 is working on.
Topics of interest
Areas of interest include, but are not limited to:
Computational approaches to the following tasks:
Detection of fake news spreaders
Detection of bots and trolls
Identification of information generated by bots and trolls
Patterns in fake news propagation
Credibility assessment of online information and information sources
Detection of polarization in online communities
Multimodal fake news detection
Eary detection of fake news
Fake news prevention, filtering and containment
Analysis/detection of multi-platform fake news spreading
Others:
Measurements and analysis of fake news impact
Resources for journalists for fake news detection
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