Language features used on twitter base account @englishfess_: corpora of twitter Language

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Sabila, Wilda (2023) Language features used on twitter base account @englishfess_: corpora of twitter Language. Undergraduate thesis, UIN Sunan Ampel Surabaya.

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Abstract

The development of social media has changed the writing style of the users. This research aims to investigate language features used on the Twitter account @englishfess_. This research used qualitative design by doing content analysis and using Antconc software to analyze the corpus data. The data collected was from uploaded tweets on the Twitter account @englishfess_ from February to April 2023. The theory purposed by Danet (2001) said that there are ten internet language features and it is used to identify the internet language features used on Twitter account @englishfess_. The findings showed that there are 1785 different word kinds, and the total number of words in the account is 7030 as the data corpus. The data found that eight language features are used on the Twitter account @englishfess_ in 487 sentences. There is abbreviation, capital letters, emoticons, eccentric spelling, multiple punctuations, written out laughter, music/noise, all lower case. An abbreviation is the most language feature used on that account. While asterisk for emphasis and description of action is not applied on that account. These findings implied that followers used language features to reduce the word they write because of the limited words on Twitter.