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Sometimes trolls live under bridges. But not everyone living under a bridge is a troll.
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—Wikipedia essay What is a troll?
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It is estimated that that the Internet has about 3.17 billion users, almost half the population of the world (Smith 2016[1]). With the growing number of internet and social media users, we are witnessing an increase in antisocial behaviour online.
In this section, we explore the phenomenon of internet trolling and strategies for managing this disruptive online behaviour taking the communication context into account.
Read the following definition:
- Internet troll
- An Internet troll is a person who sows discord on the Internet by starting arguments or upsetting people, by posting inflammatory, extraneous, or off-topic messages in an online community (such as a newsgroup, forum, chat room, or blog) with the intent of provoking readers into an emotional response, or of otherwise disrupting normal, on-topic discussion, primarily for the troll’s own amusement.
Read the following, paying particular attention to strategies for dealing with trolling behaviour.
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Annotation - Research on trolling
References
- ↑ Smith,
K. (2016). Marketing: 96 Amazing Social Media Statistics and Facts. Brandwatch
—Wikipedia essay
What is a troll?
It is estimated that that the Internet has about 3.17 billion users, almost half the population of the world (Smith 2016[1]). With the growing number of internet and social media users, we are witnessing an increase in antisocial behaviour online.
In this section, we explore the phenomenon of internet trolling and strategies for managing this disruptive online behaviour taking the communication context into account.
Read the following definition:
Reading
Read the following, paying particular attention to strategies for dealing with trolling behaviour.
Media
560px
is not validAnnotation - Research on trolling
Read the following articles and add or reply to annotations using on the Hypothes.is focusing on how the research relates to your own online experience. Remember to tag your posts using the course code: LiDA102. (Consult the OERu support site for help on using the Hypothes.is annotation tool.)
References
K. (2016). Marketing: 96 Amazing Social Media Statistics and Facts. Brandwatch
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