Human-AI Cooperation to Tackle Misinformation and Polarization
نویسندگان
چکیده
research-article Open Access Share on Human-AI Cooperation to Tackle Misinformation and Polarization Authors: Damiano Spina RMIT University, Melbourne, Australia AustraliaSearch about this author , Mark Sanderson Daniel Angus Queensland University of Technology, Brisbane, Gianluca Demartini The Queensland, Dana Mckay Lauren L. Saling Ryen W. White Microsoft Research, Redmond, WA, USA USASearch Authors Info & Claims Communications the ACMVolume 66Issue 7July 2023pp 40–45https://doi.org/10.1145/3588431Published:22 June 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Alert added!This alert has been successfully added will be sent to:You notified whenever a record that you have chosen cited.To manage your preferences, click button below.Manage my Alert!Please log in account Save BinderSave BinderCreate New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF
منابع مشابه
AI and human player cooperation in RTS games
The challenges associated with implementing cooperation between Artificial Intelligence players and human players cover some interesting areas of Artificial Intelligence research. One of the key requirements to efficient cooperation is good communication, to share information on current state and future plans.
متن کاملViral Misinformation: The Role of Homophily and Polarization
The spreading of unsubstantiated rumors on online social networks (OSN) either unintentionally or intentionally (e.g., for political reasons or even trolling) can have serious consequences such as in the recent case of rumors about Ebola causing disruption to health-care workers. Here we show that indicators aimed at quantifying information consumption patterns might provide important insights ...
متن کاملPolarization and Fake News: Early Warning of Potential Misinformation Targets
Users polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this paper, we introduce a general framework for promptly identifying polarizing content on social media and, thus, “predicting” future fake news topics. We validate the performances...
متن کاملRegional and International Cooperation to Reduce Nagorno – Karabakh Conflict
Almost two decades since conflict broke out between Republic of Azerbaijan and Armenia, two northern neighbors of Iran, in Nagorno – Karabakh region. Although military conflict in this region has minimized with the existing ceasefire, and reaching a sustainable agreement is likely to be happened by the two parties. Close regional and international cooperation seems necessary more than ever in o...
متن کاملFrom Here to Human-Level AI
Human-level AI will be achieved, but new ideas are almost certainly needed, so a date cannot be reliably predicted—maybe five years, maybe five hundred years. I’d be inclined to bet on this 21st century. It is not surprising that human-level AI has proved difficult and progress has been slow—though there has been important progress. The slowness and the demand to exploit what has been discovere...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications of The ACM
سال: 2023
ISSN: ['1557-7317', '0001-0782']
DOI: https://doi.org/10.1145/3588431