Smart City Gnosys

Smart city article details

Title	Social Media Enabled Human Sensing For Smart Cities
ID_Doc	52017
Authors	Doran, D; Severin, K; Gokhale, S; Dagnino, A
Year	2016
Published	AI COMMUNICATIONS, 29, 1
DOI	http://dx.doi.org/10.3233/AIC-150683
Abstract	Smart city initiatives rely on real-time measurements and data collected by a large number of heterogenous physical sensors deployed throughout a city. Physical sensors, however, are fraught with interoperability, dependability, management and political challenges. Furthermore, these sensors are unable to sense the opinions and emotional reactions of citizens that invariably impact smart city initiatives. Yet everyday, millions of dwellers and visitors of a city share their observations, thoughts, feelings and experiences, or in other words, their perceptions about their city through social media updates. This paper reasons why "human sensors", namely, citizens that share information about their surroundings via social media can supplement, complement, or even replace the information measured by physical sensors. We present a methodology based on probabilistic language modeling to extract and visualize such perceptions that may be relevant to smart cities from social media updates. Using more than six million geo-tagged tweets collected over regions that feature widely varying geographical, social, cultural and political characteristics and tweet densities, we illustrate the potential of social media enabled human sensing to address diverse smart city challenges.
Author Keywords	Social media; smart cities; language modeling; geo-locations

Similar Articles

Id	Similarity	Authors	Title	Published
35891	0.896	Hodorog A.; Petri I.; Rezgui Y.	Machine Learning And Natural Language Processing Of Social Media Data For Event Detection In Smart Cities	Sustainable Cities and Society, 85 (2022)
58476	0.896	Calicchia F.; Capuano M.E.	Tracing Smart Cities’ Representation On Twitter. An Analysis Of The Italian Context*	Italian Sociological Review, 14, 10 (2024)
52054	0.894	Cano L.F.G.; Londono L.G.; Velez L.L.	Social Sensor Participation In The Construction Of A Citizen Agenda Based On Twitter	2021 2nd Sustainable Cities Latin America Conference, SCLA 2021 (2021)
40140	0.893	de Oliveira T.H.M.; Painho M.	Open Geospatial Data Contribution Towards Sentiment Analysis Within The Human Dimension Of Smart Cities	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021)
3083	0.89	Emek M.S.; Parlak I.B.	A New Method Of Smart City Modeling Using Big Data Techniques	Lecture Notes in Networks and Systems, 759 LNNS (2023)
56664	0.884	De Falco C.C.; Romeo E.	The Role Of Social Platform In The Constitution Of Smart Cities: A Systematic Literature Review	Springer Proceedings in Complexity (2023)
61813	0.882	Wilson M.; Decaminada T.; Darcy C.; Kassens-Noor E.	Who Speaks For Smart Cities?: Social Media, Influence, And Stories Of Innovation	Routledge Companion to Creativity and the Built Environment (2024)
49304	0.881	Blasi S.; Gobbo E.; Sedita S.R.	Smart Cities And Citizen Engagement: Evidence From Twitter Data Analysis On Italian Municipalities	Journal of Urban Management, 11, 2 (2022)
36360	0.88	Puri, M; Du, X; Varde, AS; de Melo, G	Mapping Ordinances And Tweets Using Smart City Characteristics To Aid Opinion Mining	COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018) (2018)
22823	0.877	Stojanovski D.; Strezoski G.; Madjarov G.; Dimitrovski I.	Emotion Identification In Twitter Messages For Smart City Applications	Information Innovation Technology in Smart Cities (2017)