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Perceiving Speech Aggression with and without Textual Context on Twitter Social Network Site

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 12997)


The Internet has become the leading place for the emergence and spread of aggressive behavior. All major social network sites today work in one way or another to maintain a respectful atmosphere within their communities. Besides all this work to harmonize communication, today speech aggression is still a common fact within internet-communication on social network sites. The paper explores speech aggression perception in internet-communication of Russian speaking Twitter users. We suppose that taking into account such factors as communicative situation and communicative context, when analyzing the fact of speech aggression implementation, will increase the accuracy of determining the nature (direction) of speech aggression in the process of speech communication on social network sites. Based on ten tweet stimuli selected we perform an empirical research recruiting 45 Russian speaking recipients and asking them to detect speech aggression in tweets without and within textual context. The results of the research argue that indeed, the presence of textual context influences the interpretation of the tweet as an offensive or a defensive aggressive speech act.


  • Perception
  • Text analysis
  • Internet mediated communication
  • Speech aggression
  • Levels of language

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  • DOI: 10.1007/978-3-030-87802-3_32
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  1. 1.

    Communicative context within this work is understood as macro-context – the linguistic environment of a particular speech unit (a word, a phrase, an utterance, etc.). This context is wider then a phrase and goes beyond one utterance [4]. Within this work context means tweets following the stimuli tweet.

  2. 2.

    Communicative situation means a structural speech entity realized in space and time. The communicative situation characterizes the circumstances of communication in general, its incentives, its participants, etc. It includes interlocutors (a sender of the messages and recipient(s)), topic of communication (about what interlocutors communicate), motive to communicate (why they communicate), aims of interlocutors (what results they want to reach), code used by them (how they communicate), communicative style used by them (common talks, official speech etc.), place and time of communication (where and when interlocutors communicate), communicative environments (social prescriptions, taboos etc.), and ethnic peculiarities [16].

  3. 3.

    Tips for hate speech data annotation see in [20].


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Correspondence to Liliya Komalova .

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Komalova, L., Kulagina, D. (2021). Perceiving Speech Aggression with and without Textual Context on Twitter Social Network Site. In: Karpov, A., Potapova, R. (eds) Speech and Computer. SPECOM 2021. Lecture Notes in Computer Science(), vol 12997. Springer, Cham.

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