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#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions.

, , , , , and . NLP+CSS@EMNLP, page 55-65. Association for Computational Linguistics, (2016)

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A user-oriented model for global enterprise portal design., , , , and . Int. J. Netw. Virtual Organisations, 7 (4): 308-322 (2010)The influence of network structure and prosocial cultural norms on charitable giving: A multilevel analysis of Movember's fundraising campaigns in 24 countries., , , , and . Soc. Networks, (2019)High Reliable Internet Hosting: A Case Study of Handling Unanticipated Threats to Reliability., , and . ICIS, Association for Information Systems, (2012)#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions., , , , , and . NLP+CSS@EMNLP, page 55-65. Association for Computational Linguistics, (2016)Open government objectives and participation motivations., , and . Gov. Inf. Q., 32 (1): 30-42 (2015)Identity and collective action via computer-mediated communication: A review and agenda for future research., , , and . New Media Soc., 20 (7): 2647-2669 (2018)From Square to Triangle: Realigning the Alignment Model., , and . BUSITAL, volume 237 of CEUR Workshop Proceedings, CEUR-WS.org, (2006)Determine the User Country of a Tweet., , , , and . CoRR, (2015)Narrowing the Gap between Open Standards Policy and Practice: The Dutch E-Government Experience., , and . EGES/GISP, volume 334 of IFIP Advances in Information and Communication Technology, page 7-18. Springer, (2010)#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns., , , , and . EMNLP, page 2570-2576. The Association for Computational Linguistics, (2015)