The presence of organisations in Online Social Networks (OSNs) has motivated malicious users to look for attack vectors, which are then used to increase the possibility of carrying out successful attacks and obtaining either private information or access to the organisation. This article hypothesised that organisations have specific languages that their members use in OSNs, which malicious users could potentially use to carry out an impersonation attack.

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[1] Rubén Sánchez-Corcuera, Arkaitz Zubiaga, Aitor Almeida, "Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/eebf-6q68. Accessed: May. 28, 2024.
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author = {Rubén Sánchez-Corcuera; Arkaitz Zubiaga; Aitor Almeida },
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title = {Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset},
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Rubén Sánchez-Corcuera, Arkaitz Zubiaga, Aitor Almeida. (2021). Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset. IEEE Dataport. http://dx.doi.org/10.21227/eebf-6q68
Rubén Sánchez-Corcuera, Arkaitz Zubiaga, Aitor Almeida, 2021. Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset. Available at: http://dx.doi.org/10.21227/eebf-6q68.
Rubén Sánchez-Corcuera, Arkaitz Zubiaga, Aitor Almeida. (2021). "Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset." Web.
1. Rubén Sánchez-Corcuera, Arkaitz Zubiaga, Aitor Almeida. Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/eebf-6q68
Rubén Sánchez-Corcuera, Arkaitz Zubiaga, Aitor Almeida. "Analysing the Existence of Organisation Specific Languages on Twitter: The Dataset." doi: 10.21227/eebf-6q68