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The data is provided in two files: one containing questionnaire-data and the other containing the respondentents' data. The questionnaire data is in a TXT file, which includes the survey questions and possible responses. The respondents' data is in a TSV file with 26 columns, detailing anonymised respondent information and their answers: Timestamp, Agreement, Region, Age, Education, Profession, Preference of the 1st term, Reasons, ..., Preference of 10th term, Reasons.
A total of 593 respondents participated, representing diverse age groups, regions, and levels of expertise. Participants were asked to choose the most appropriate Lithuanian terms for 10 cybersecurity concepts (cyberattack, spam, denial-of-service attack, man-in-the-middle attack, brute force attack, phishing, botnet, hacker, honeypot method, zero-day vulnerability). They could either select term provided in the questionnaire or suggest their own, giving reasons for their selections.
The dataset facilitates research into terminology preferences, revealing which types of terms are preferred by users (borrowings, metaphorical calques, or descriptive terms) and how preferences vary across two respondent groups: students versus graduates and cybersecurity experts versus the general public. Additionally, data on respondents' reasoning revealed key factors in determining term suitability. The self-suggested terms underscore respondents' creative potential and their strong interest in maintaining national terminology.
Rackevičienė, Sigita & Utka, Andrius (2024) "Preferences of Lithuanian cybersecurity synonymous terms in different user groups." Kalbų studijos 44, 107-122. |
