000 | 02469nam a2200373 i 4500 | ||
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001 | CR9781009324298 | ||
003 | UkCbUP | ||
005 | 20240508141515.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 220628s2024||||enk o ||1 0|eng|d | ||
020 | _a9781009324298 (ebook) | ||
020 | _z9781009494632 (hardback) | ||
020 | _z9781009324250 (paperback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
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043 | _aa-cc--- | ||
050 | 4 |
_aPN4557 _b.Z43 2024 |
|
082 | 0 | 4 |
_a306.44 _223 |
100 | 1 |
_aZhang, Shaomin, _eauthor. |
|
245 | 1 | 0 |
_aAuthorship analysis in Chinese social media texts / _cShaomin Zhang. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2024. |
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300 |
_a1 online resource (105 pages) : _bdigital, PDF file(s). |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aCambridge elements. Elements in forensic linguistics, _x2634-7334 |
|
506 | 0 |
_aOpen Access. _fUnrestricted online access _2star |
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500 | _aTitle from publisher's bibliographic system (viewed on 08 Mar 2024). | ||
520 | _aThis Element explores the sentiment and keyword features in both authorship profiling and authorship attribution in social media texts in the Chinese cultural context. The key findings can be summarised as follows: firstly, sentiment scores and keyword features are distinctive in delineating authors' gender and age. Specifically, female and younger authors tend to be less optimistic and use more personal pronouns and graduations than male and older authors, respectively. Secondly, these distinctive profiling features are also distinctive and significant in authorship attribution. Thirdly, our mindset, shaped by our inherent hormonal influences and external social experiences, plays a critical role in authorship. Theoretically, the findings expand authorship features into underexplored domains and substantiate the theory of mindset. Practically, the findings offer some broad quantitative benchmarks for authorship profiling cases in the Chinese cultural context, and perhaps other contexts where authorship profiling analyses have been used. This title is also available as Open Access on Cambridge Core. | ||
650 | 0 |
_aSocial media _zChina _xAuthorship. |
|
776 | 0 | 8 |
_iPrint version: _z9781009494632 |
830 | 0 |
_aCambridge elements. _pElements in forensic linguistics, _x2634-7334. |
|
856 | 4 | 0 | _uhttps://doi.org/10.1017/9781009324298 |
999 |
_c38623 _d38623 |