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Exploring mayors' disclosure patterns on social media: evidence from Twitter (X) expressions.

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Τίτλος: Exploring mayors' disclosure patterns on social media: evidence from Twitter (X) expressions.
Συγγραφείς: Li, Huaxia1 (AUTHOR) huaxiali@umich.edu, Wang, Xinxin2 (AUTHOR) xwang13@umassd.edu, Issa, Hussein3 (AUTHOR) hussein.issa@rutgers.edu
Πηγή: International Journal of Disclosure & Governance. Sep2026, Vol. 23 Issue 3, p812-832. 21p.
Θεματικοί όροι: *COVID-19 pandemic, Social media, Gender differences (Psychology), Community involvement, Political communication, Linguistic analysis, Mayors
Γεωγραφικοί όροι: United States
Reviews & Products: Twitter (Web resource)
Περίληψη: In the USA, a significant number of mayors utilize social media, especially X (formerly known as Twitter), to disseminate municipal information and foster relationships with their constituents. However, there is a scarcity of research examining the patterns of these expressions and their effects on citizen engagement. This study explores the patterns of mayors' X disclosures, their correlation with individual characteristics of mayors, and levels of citizen engagement. The findings suggest that longer-serving mayors typically employ richer linguistic expressions and a more formal tone. Male mayors lean toward authentic expressions and spatial references, while female counterparts spotlight human rights and social issues. Political affiliations also influence their X content, with Democratic mayors emphasizing positive sentiments and social processes, while their Republican peers focus on societal well-being. Additionally, the governing system under which a mayor operates, whether mayor–council or council–manager, dictates their communication style and themes. Notably, emotional expressions tend to bolster citizen engagement, whereas informal language can deter it. A deeper analysis contrasting the pre- and post-COVID-19 eras is also undertaken. This research contributes to the government information literature by analyzing mayors' X expressions and offers insights into leveraging online communication to enhance citizen engagement. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Disclosure & Governance is the property of Palgrave Macmillan Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  – Url: https://dx.doi.org/doi:10.1057/s41310-025-00325-z
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  Data: Exploring mayors' disclosure patterns on social media: evidence from Twitter (X) expressions.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Huaxia%22">Li, Huaxia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> huaxiali@umich.edu</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xinxin%22">Wang, Xinxin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xwang13@umassd.edu</i><br /><searchLink fieldCode="AR" term="%22Issa%2C+Hussein%22">Issa, Hussein</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> hussein.issa@rutgers.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Disclosure+%26+Governance%22">International Journal of Disclosure & Governance</searchLink>. Sep2026, Vol. 23 Issue 3, p812-832. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+differences+%28Psychology%29%22">Gender differences (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Community+involvement%22">Community involvement</searchLink><br /><searchLink fieldCode="DE" term="%22Political+communication%22">Political communication</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistic+analysis%22">Linguistic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mayors%22">Mayors</searchLink>
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  Data: <searchLink fieldCode="PS" term="%22Twitter+%28Web+resource%29%22">Twitter (Web resource)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In the USA, a significant number of mayors utilize social media, especially X (formerly known as Twitter), to disseminate municipal information and foster relationships with their constituents. However, there is a scarcity of research examining the patterns of these expressions and their effects on citizen engagement. This study explores the patterns of mayors' X disclosures, their correlation with individual characteristics of mayors, and levels of citizen engagement. The findings suggest that longer-serving mayors typically employ richer linguistic expressions and a more formal tone. Male mayors lean toward authentic expressions and spatial references, while female counterparts spotlight human rights and social issues. Political affiliations also influence their X content, with Democratic mayors emphasizing positive sentiments and social processes, while their Republican peers focus on societal well-being. Additionally, the governing system under which a mayor operates, whether mayor–council or council–manager, dictates their communication style and themes. Notably, emotional expressions tend to bolster citizen engagement, whereas informal language can deter it. A deeper analysis contrasting the pre- and post-COVID-19 eras is also undertaken. This research contributes to the government information literature by analyzing mayors' X expressions and offers insights into leveraging online communication to enhance citizen engagement. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Disclosure & Governance is the property of Palgrave Macmillan Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1057/s41310-025-00325-z
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      – SubjectFull: COVID-19 pandemic
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      – SubjectFull: Social media
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      – SubjectFull: Gender differences (Psychology)
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      – SubjectFull: Community involvement
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      – SubjectFull: Mayors
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      – TitleFull: Exploring mayors' disclosure patterns on social media: evidence from Twitter (X) expressions.
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              M: 09
              Text: Sep2026
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              Y: 2026
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