1. We have added reading material/resources with surveys and tutorials in misinformation/misbehavior area. See it below.
2. MIS2 2018 @ WSDM was a great success! Thanks to all the speakers and attendees who made it happen!
Here's a group picture we took (alas, after several people had left):
Web is a space for all where people interact with each other and anyone can read, publish, and share content. While this has led to several groundbreaking benefits, it is also a breeding ground for misbehavior and misinformation. Anyone can reach thousands of people on the web instantaneously, say whatever they want, whenever they want, and yet be shielded by anonymity. This has led to increase of misbehavior and misinformation, such as harrassment, scams, spread of propaganda, hate speech, fake reviews, and many more. Study of this topic has become important among researchers across many subfields of the computational and social sciences, such as social network analysis, cybersecurity, human–computer interaction, communications, linguistics, natural language processing, social psychology, sociology, political science, journalism, and cognitive science.
MIS2 is an interdisciplinary venue that invites researchers and practitioners who work on studying misbehavior and misinformation on the web. Web includes: social media, e-commerce platforms, collaborative and knowledge-based platforms (e.g., wikis and question-answer platforms like Quora, StackOverflow, etc.), computer mediated communications, both p2p (e.g., email, text chat, video chat, etc.) and broadcasting (e.g., notice boards, discussion boards, video broadcasts), online gaming platforms, online transactions platforms (e.g., credit card, cryptocurrency, etc.), crowdsourcing platforms, and many more types of platforms.
Areas of interest include, but are not limited to:
Topics of interest include, but are not limited to:
Papers should be 2 to 8 pages long, will be published only on the workshop webpage, and will not be considered archival for resubmission purposes to future venues. Authors whose papers are accepted to the workshop will have the opportunity to present their research in oral presentation and participate in a poster session.
We explicitly encourage the submission of preliminary work in the form of extended abstracts (2 pages).
Best Paper Awards: Best paper awards will be given to highest quality papers submitted to the workshop. The organizers thanks CreditX for sponsoring the award.
All papers will be peer reviewed.
We encourage submissions of the following types, but not limited to:
Submission dates: See below.
Format: Papers must be submitted in PDF according to the new ACM format published in ACM guidelines, selecting the generic "sigconf" sample. Submissions should be 2 to 8 pages long. No need to anonymize your submission.
Submission Link [Closed]: Papers should be submitted via the EasyChair: https://easychair.org/conferences/?conf=mis2
Prof. Leman Akoglu | Prof. Francesca Spezzano | Dr. Justin Cheng |
Professor, Information Systems | Professor, Computer Science | Data Scientist |
Carnegie Mellon University | Boise State University | Facebook Research |
Prof. Ben Zhao | Prof. Jeff Hancock | Prof. Emilio Ferrara |
Professor, Computer Science | Professor, Communications | Professor, Computer Science |
University of Chicago | Stanford University | University of Southern California |
Dr. Mingjie Zhu | Chad DePue | |
Founder | Director of Engineering | |
CreditX | Snap Inc. |
Paper submission deadline (all types): November 27, 2017
Author Notification: December 14, 2017
Camera Ready Due: January 1, 2018
Workshop date: February 9, 2018
Time | Speaker/Paper |
0900-0930 | Keynote: Prof. Ben Zhao: Living in a Machine-Altered Reality |
0930-1000 | Keynote: Prof. Emilio Ferarra: Social bots and political elections |
1000-1030 | Poster session during coffee break |
1030-1100 | Keynote: Dr. Justin Cheng: Antisocial Computing: Explaining, Predicting, and Mediating Online Negative Behavior |
1100-1110 | Long Paper #2: Unsupervised Content-Based Identification of Fake News Articles with Tensor Decomposition Ensembles. |
1110-1120 | Long Paper #17: Credibility Assessment in the News: Do we need to read? |
1120-1130 | Long Paper #14: "Like Sheep Among Wolves": Characterizing Hateful Users on Twitter |
1130-1140 | Long Paper #11: Forex trading and Twitter: spam, bots, and reputation manipulation |
1140-1145 | Short Paper #21: Examining trolls and polarization with a retweet network |
1145-1150 | Short Paper #23: Measuring the Impact of ISIS Social Media Strategy |
1150-1200 | Invited talk: Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach. |
1210-1330 | Lunch break |
1330-1400 | Keynote: Dr. Mingjie Zhu:The next Battlefield: data mining for in finance in China. |
1400-1430 | Keynote: Prof. Leman Akoglu: Opinion Spam Detection: A Story of Networks, Meta-data and an Oracle |
1430-1440 | Long Paper #26: Behavior Language Processing with Graph based Feature Generation for Fraud Detection in Online Lending |
1440-1450 | Long Paper #22: Detecting Employee Misconduct and Malfeasance |
1450-1455 | Short Paper #27: Q&A Feature Extracting Framework for Online-Lending Collection Risk Modeling with X-Encoder |
1455-1500 | Short Paper #24: Fast Asynchronous Anti-TrustRank for Web Spam Detection |
1500-1530 | Poster session during coffee break |
1530-1600 | Keynote: Mr. Chad DePue: A Holistic Approach to Identifying and Classifying Malicious Actors on Snapchat |
1600-1630 | Keynote: Prof. Francesca Spezzano: Multilingual Page Protection in Wikipedia |
1630-1635 | Short Paper #20: Using Rhetorical Structure Theory for Detection of Fake Online Reviews |
1635-1645 | Long Paper #12: Detecting misbehavior in commenting platforms |
1645-1655 | Invited talk: REV2: Fraudulent User Prediction in Rating Platforms. |
1655-1705 | Invited talk: Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. |
1705-1715 | Invited talk: Identifying Fake News: Characterizing Social Media Messages by How They Propagate |
1715-1720 | Closing and best paper award presentation. |
1730-1800 | Final poster session |
Survey papers:
Tutorials:
Srijan Kumar | Meng Jiang | Taeho Jung | Roger Luo | Jure Leskovec |
Postdoc Researcher | Assistant Professor | Assistant Professor | Research & Engineering Manager | Associate Professor |
Stanford University | University of Notre Dame | University of Notre Dame | Snap Inc. | Stanford University |
Please direct all questions to srijan@cs.stanford.edu