Abstract
An event is defined by the attributes who, what, where, when, and how, and an event tweet usually contains these basic aspects. Real-time events are events happening presently or happened a short time back. Social media is a way to associate different types of interrelated domains. The biggest social media platforms are YouTube, Facebook, Instagram, and Twitter. Social networking is a platform that allows people from similar background or with similar interest to connect online. The objective of event detection is to predict the local and the global event that happened. Events constrained by time and geography, those that occurred in the nearby areas are analyzed by local event detection. Contrarily, global event detection identifies events that have a greater worldwide impact, such as COVID, wars. Social media event detection is a tool for content analysis in which the processes automatically detect the topic present in text and reveal the hidden pattern in the corpus. The major goal is to provide a thorough summary of current revelations in the area, aiding the reader in comprehending the primary issues covered thus far and suggesting potential directions for future research.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Nazmus Saadat Md, Kabir H, Shuaib M, Nassr RM, Husen MN, Osman H (2021) Research issues & state of the art challenges in event detection. In: 15th international conference on ubiquitous information management and communication (IMCOM)
Sreenivasulu M, Sridevi M (2018) A survey on event detection methods on various social media. Springer Nature Singapore Pte Ltd.; Sa PK et al (eds) Recent findings in intelligent computing techniques. In: Advances in intelligent systems and computing, vol 709. Springer Nature
Avvenuti M (2014) A real time decision support system for earthquake crisis management. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, NY, pp 1749–1758
Yigitcanlar T, Regona M, Kankanamge N, Mehmood R (2022) Detecting natural hazard related diester impacts with social media analytics: the case of Australian States and territories, MDPI. Sustainability 14:810
Hajibabaee P (2022) Offensive language detection on social media based on text classification. In: IEEE 12th annual computing and communication workshop and conference (CCWC), pp 0092-0098
Sun Y, Sun Z, Chang X, Pan Z, Luo L (2022) Community detection based on fish school effect. IEEE Access
Suat-Rojas N, Gutierrez-Osorio C, Pedraza C (2022) Extraction and analysis of social networks data to detect traffic accidents. Information 13(1):26. https://doi.org/10.3390/info13010026
George Y, Karunasekera S, Harwood A, Lim KH (2021) Real-time spatio-temporal event detection on geotagged social media. J Big Data
Jonnalagadda J, Hashemi M (2021) A deep learning-based traffic event detection from social media. In: IEEE 22nd international conference on information reuse and integration for data science (IRI), pp 1–8. https://doi.org/10.1109/IRI51335.2021.00007
Chen Y, Lv Y, Wang X, Li L, Wang F-Y (2018) Detecting traffic information from social media texts with deep learning approaches. IEEE Trans Intell Transp Syst 20(8):3049–3058
Shoyama K, Cui Q, Hanashima M, Sano H, Usuda Y (2021) Emergency flood detection using multiple information sources: integrated analysis of natural hazard monitoring and social media data. Sci Total Environ 767:144371. ISSN 0048-9697
Chen Q, Wang W, Huang K, De S, Coenen F (2021) Multi-modal generative adversarial networks for traffic event detection in smart cities. Expert Syst Appl 177:114939. ISSN 0957-4174
Capdevila J, Cerquides J, Nin J, Torres J (2017) Tweet-SCAN: an event discovery technique for geo-located tweets. Pattern Recogn Lett 93:58–68. ISSN 0167-8655
Huang J, Obracht-Prondzynska H, Kamrowska-Zaluska D, Sun Y, Li L (2021) The image of the city on social media: a comparative study using “big data” and “small data” methods in the tri-city region in Poland. Landscape Urban Plann 206:103977. ISSN 0169-2046
Roy KC, Hasan S (2021) Modeling the dynamics of hurricane evacuation decisions from twitter data: an input output hidden Markov modeling approach. Transp Res Part C Emerg Technol 123:102976. ISSN 0968-090X
Jiang J-Y, Zhou Y, Chen X, Jhou Y-R, Zhao L, Liu S, Yang P-C, Ahmar J, Wang W (2021) COVID-19 surveiller: toward a robust and effective pandemic surveillance system based on social media mining. Phil Trans R Soc A 380:20210125
Andreadis S, Antzoulatos G, Mavropoulos T, Giannakeris P, Tzionis G, Pantelidis N, Ioannidis K, Karakostas A, Gialampoukidis I, Vrochidis S, Kompatsiaris I (2021) A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets. Online Soc Networks Media. 23:100134. ISSN 2468-6964
Cantini R, Marozzo F, Talia D, Trunfio P (2022) Analyzing political polarization on social media by deleting bot spamming. Big Data Cogn Comput 6(1):3
Budiharto W, Meiliana M (2018) Prediction and analysis of Indonesia presidential election from Twitter using sentiment analysis. Big Data 5:51. https://doi.org/10.1186/s40537-018-0164-1
Kaleel SB (2013) Event detection and trending in multiple social networking sites. In: Proceedings of the 16th communications & networking symposium. Society for Computer Simulation International
Lejeune G, Brixtel R, Doucet A, Lucas N (2015) Multilingualevent extraction for epidemic detection. Artif Intell Med 65(2):131–143
Sun X, Liu L, Ayorinde A, Panneerselvam J (2021) ED-SWE: event detection based on scoring and word embedding in online social networks for the internet of people. Elsevier B.V. on behalf of KeAi Communications Co. Ltd
Aldhaheri A, Lee J (2017) Event detection on large social media using temporal analysis. In: IEEE 7th annual computing and communication workshop and conference (CCWC), pp 1–6. IEEE
Li Q, Nourbakhsh A, Shah S, Liu X (2017) Real-time novel event detection from social media. In: IEEE 33rd international conference on data engineering (ICDE), pp 1129–1139. https://doi.org/10.1109/ICDE.2017.157
Pradhan AK, Mohanty H, Lal RP (2019) Event detection and aspects in twitter: a BoW Approach. In: Distributed computing and internet technology, vol 11319, ISBN: 978-3-030-05365-9
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Akiladevi, G., Arun, M., Pradeepkandhasamy, J. (2023). Event Detection in Social Media Analysis: A Survey. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_4
Download citation
DOI: https://doi.org/10.1007/978-981-99-5166-6_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-5165-9
Online ISBN: 978-981-99-5166-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)