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The online disinhibition effect refers to the lack of restraint one feels when communicating online in comparison to communicating in-person. [1] People tend to feel safer saying things online that they would not say in real life because they have the ability to remain completely anonymous and invisible when on particular websites, and as a result, free from potential consequences. [2]
Cyberbullying (cyberharassment or online bullying) is a form of bullying or harassment using electronic means. Since the 2000s, it has become increasingly common, especially among teenagers and adolescents , due to young people's increased use of social media. [ 1 ]
Luchman, J.N.; CHAIDFOREST: Stata module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner, Available for free download, or type within Stata: ssc install chaidforest. IBM SPSS Decision Trees grows exhaustive CHAID trees as well as a few other types of trees such as CART.
[17] [18] A motion was also introduced in the Canadian House of Commons to propose a study of the scope of bullying in Canada and for more funding and support for anti-bullying organizations. Todd's mother, Carol, established the Amanda Todd Trust, receiving donations to support anti-bullying awareness education and programs for young people ...
The International Day Against Violence and Bullying at School, including Cyberbullying is a UN Educational, Scientific and Cultural Organization holiday celebrated every year on the first Thursday of November. [1] This International Day was designated by the member states of UNESCO in 2019 and it was first held in November 2020. [2]
The images above demonstrate an example of how an artificial neural network might make a false positive result in object detection. The input image is a simplified example of the training phase, using multiple images that are known to depict starfish and sea urchins, respectively. The starfish match with a ringed texture and a star outline ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.