Authors: Stefanie Urchs
Many people organise themselves online in social networks or share knowledge in open encyclopaedias. However, these networks do not only belong to humans. A huge variety of socialbots that imitate humans inhabit these and are connected to each other. The connections between socialbots lead to mutual influences between them. If the influence socialbots have on each other are too big they adapt the behaviour of the other socialbot and get worse in imitating humans. Therefore, it is necessary to detect when socialbots are mutually influencing each other. For a better overview socialbots in the social networks Facebook, Twitter and in the open encyclopaedia Wikipedia are observed and the mutual influences between them detected. Furthermore, this paper discusses how socialbots could handle the detected influences.
Comments: 6 Pages.
[v1] 2019-03-08 02:36:18
Unique-IP document downloads: 16 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.