Internet manipulation refers to the co-optation of digital technology, such as social media algorithms and automated scripts, for commercial, social, or political purposes. Such tactics may be employed with the explicit intent to manipulate public opinion, polarise citizens, silence political dissidents, harm corporate or political adversaries and improve personal or brand reputation. Hackers, hired professionals and private citizens have all been reported to engage in internet manipulation using software - typically Internet bots such as social bots, votebots and clickbots.
Cognitive hacking refers to a cyberattack that aims to change users' perceptions and corresponding behaviors.
Internet manipulation is sometimes also used to describe selective Internet censorship or violations of net neutrality.
Behavior Manipulation: Fake news, disinformation, and AI can secretly affect behavior. This is a different issue from affecting cognitive beliefs, as this can operate outside of awareness, making it harder to detect.
High-arousal emotion virality: It has been found that content that evokes high-arousal emotions (e.g. awe, anger, anxiety or with hidden sexual meaning) is more viral and that content that holds one or many of these elements: surprising, interesting, or useful is taken into consideration.
Simplicity over complexity: Providing and perpetuating simple explanations for complex circumstances may be used for online manipulation. Often such are easier to believe, come in advance of any adequate investigations and have a higher virality than any complex, nuanced explanations and information. (See also: Low-information rationality)
Peer-influence: Prior collective ratings of an web content influences ones own perception of it. In 2015 it was shown that the perceived beauty of a piece of artwork in an online context varies with external influence as confederate ratings were manipulated by opinion and credibility for participants of an experiment who were asked to evaluate a piece of artwork.
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A social bot, or also described as a social AI or social algorithm, is a software agent that communicates autonomously on social media. The messages (e.g. tweets) it distributes can be simple and operate in groups and various configurations with partial human control (hybrid) via algorithm. Social bots can also use artificial intelligence and machine learning to express messages in more natural human dialogue. To influence peoples decisions, e.g.: advertise a product, support a political campaign, increase engagement statistics for social media pages, etc.
Information warfare (IW) (different from cyberwarfare that attacks computers, software, and command control systems) is a concept involving the battlespace use and management of information and communication technology (ICT) in pursuit of a competitive advantage over an opponent. Information warfare is the manipulation of information trusted by a target without the target's awareness so that the target will make decisions against their interest but in the interest of the one conducting information warfare.
Ongoing news reports in the international media have revealed operational details about the Anglophone cryptographic agencies' global surveillance of both foreign and domestic nationals. The reports mostly emanate from a cache of top secret documents leaked by ex-NSA contractor Edward Snowden, which he obtained whilst working for Booz Allen Hamilton, one of the largest contractors for defense and intelligence in the United States. In addition to a trove of U.S.
The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about ne ...
In recent years we have seen a marked increase in disinformation including as part of a strategy of so-called hybrid warfare. Adversaries not only directly spread misleading content but manipulate social media by employing sophisticated techniques that exp ...
Detecting manipulations in facial images and video has become an increasingly popular topic in media forensics community. At the same time, deep convolutional neural networks have achieved exceptional results on deepfake detection tasks. Despite the remark ...