Social Bots: Human-Like by Means of Human Control?

@article{Grimme2017SocialBH,
  title={Social Bots: Human-Like by Means of Human Control?},
  author={Christian Grimme and Mike Preuss and Lena Adam and Heike Trautmann},
  journal={Big data},
  year={2017},
  volume={5 4},
  pages={
          279-293
        }
}
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References

SHOWING 1-10 OF 26 REFERENCES
Social Bots Distort the 2016 US Presidential Election Online Discussion
TLDR
The findings suggest that the presence of social media bots can indeed negatively affect democratic political discussion rather than improving it, which in turn can potentially alter public opinion and endanger the integrity of the Presidential election. Expand
Automating power: Social bot interference in global politics
TLDR
A content analysis of available media articles on political bots is conducted in order to build an event dataset of global political bot deployment that codes for usage, capability, and history, generating a global outline of this phenomenon. Expand
Who is tweeting on Twitter: human, bot, or cyborg?
TLDR
This paper proposes a classification system that uses the combination of features extracted from an unknown user to determine the likelihood of being a human, bot or cyborg on Twitter and demonstrates the efficacy of the proposed classification system. Expand
Online Human-Bot Interactions: Detection, Estimation, and Characterization
TLDR
This work presents a framework to detect social bots on Twitter, and describes several subclasses of accounts, including spammers, self promoters, and accounts that post content from connected applications. Expand
Automation, Algorithms, and Politics| When Bots Tweet: Toward a Normative Framework for Bots on Social Networking Sites (Feature)
TLDR
The responsibility of social networking sites and other platforms to respect human rights, such as freedom of expression and privacy, is considered and a set of standards for chat bots operating on these platforms are proposed. Expand
Bot-based collective blocklists in Twitter: the counterpublic moderation of harassment in a networked public space
ABSTRACT This article introduces and discusses bot-based collective blocklists (or blockbots) in Twitter, which have been developed by volunteers to combat harassment in the social networking site.Expand
Different measurement metrics to evaluate a chatbot system
TLDR
This paper investigates methods to train and adapt a chatbot to a specific user's language use or application, via a user-supplied training corpus, and advocates open-ended trials by real users, such as an example Afrikaans chatbot for Afrikaan-speaking researchers and students in South Africa. Expand
ELIZA — a computer program for the study of natural language communication between man and machine
TLDR
A discussion of some psychological issues relevant to the ELIZA approach as well as of future developments concludes the paper. Expand
The rise of social bots
Today's social bots are sophisticated and sometimes menacing. Indeed, their presence can endanger online ecosystems as well as our society.
Chatbots: Are they Really Useful?
TLDR
A range of chatbots with useful applications, including several based on the ALICE/AIML architecture, are presented in this paper. Expand
...
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