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Digital History meets Microblogging: Analyzing Collective Memories in Twitter

Published: 23 May 2018 Publication History

Abstract

Having good knowledge and comprehension of history is believed to be important for a variety of reasons. Microblogging platforms could offer good opportunities to study how and when people explicitly refer to the past, in which context such references appear and what purpose they serve. However, this area remains unexplored. In this paper we report the results of a large scale exploratory analysis of history-focused references in microblogs based on 11-months long snapshot of Twitter data. We are the first to analyze general historical references in Twitter based on large scale data analysis. The results of this study can be used for designing content recommendation systems and could help to improve time aware search applications.

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  • (2024)Nostalgia on Twitter: Detection and Analysis of a Large‐Scale DatasetProceedings of the Association for Information Science and Technology10.1002/pra2.103361:1(349-360)Online publication date: 15-Oct-2024
  • (2023)The Big data analysis on historical tweets on Indonesian Heroes' dayJurnal Studi Komunikasi (Indonesian Journal of Communications Studies)10.25139/jsk.v7i2.61997:2(489-504)Online publication date: 30-Jul-2023
  • (2023)The fragility of artists’ reputations from 1795 to 2020Proceedings of the National Academy of Sciences10.1073/pnas.2302269120120:35Online publication date: 21-Aug-2023
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cover image ACM Conferences
JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
May 2018
453 pages
ISBN:9781450351782
DOI:10.1145/3197026
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 May 2018

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Author Tags

  1. collective memory
  2. history
  3. social media analysis
  4. twitter

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  • Research-article

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  • MEXT Grant-in-Aids
  • MIC SCOPE

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JCDL '18 Paper Acceptance Rate 26 of 71 submissions, 37%;
Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

View all
  • (2024)Nostalgia on Twitter: Detection and Analysis of a Large‐Scale DatasetProceedings of the Association for Information Science and Technology10.1002/pra2.103361:1(349-360)Online publication date: 15-Oct-2024
  • (2023)The Big data analysis on historical tweets on Indonesian Heroes' dayJurnal Studi Komunikasi (Indonesian Journal of Communications Studies)10.25139/jsk.v7i2.61997:2(489-504)Online publication date: 30-Jul-2023
  • (2023)The fragility of artists’ reputations from 1795 to 2020Proceedings of the National Academy of Sciences10.1073/pnas.2302269120120:35Online publication date: 21-Aug-2023
  • (2022)Nostalgic Analysis of Location Based TweetsSocial Informatics10.1007/978-3-031-19097-1_27(406-413)Online publication date: 12-Oct-2022
  • (2021)Postmortem memory of public figures in news and social mediaProceedings of the National Academy of Sciences10.1073/pnas.2106152118118:38Online publication date: 15-Sep-2021
  • (2020)Analyzing history-related posts in twitterInternational Journal on Digital Libraries10.1007/s00799-020-00296-2Online publication date: 28-Oct-2020
  • (2020)Feature selection for classifying multi-labeled past eventsInternational Journal on Digital Libraries10.1007/s00799-020-00293-5Online publication date: 8-Sep-2020
  • (2019)Large scale analysis of semantic and temporal aspects in cultural heritage collection's searchProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00021(77-86)Online publication date: 2-Jun-2019

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