World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets

Yu, Yang; Wang, Xiao

doi:10.1016/j.chb.2015.01.075

Cited by 193 publications

(120 citation statements)

References 12 publications

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“…Kim et al (2015) applied topic modeling before and during the event, while Corney, Martin and Göker (2014) identified phrases (word n-grams) that showed a sudden increase in frequency in the dataset and then selected co-occurring n-grams to identify topics. By using sentiment analysis, researchers identified relationships between the public mood and large socioeconomic events in the media (Bollen, Mao, & Pepe, 2011), together with trends and possible predictions of the disposition theory (Yu & Wang, 2015), such as fanship for sports. Clearly, these analyses identified changes in activity patterns (e.g., supporters induce a general increase in number of tweets), in topic diversity, and in the spatial distribution of topics related to the event.…”

Section: Urban Planning Social Media and Planned Large Eventsmentioning

confidence: 99%

#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

Kovács-Györi

Ristea

Havas

et al. 2018

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The dynamic nature of cities, understood as complex systems with a variety of concurring factors, poses significant challenges to urban analysis for supporting planning processes. This particularly applies to large urban events because their characteristics often contradict daily planning routines. Due to the availability of large amounts of data, social media offer the possibility for fine-scale spatial and temporal analysis in this context, especially regarding public emotions related to varied topics. Thus, this article proposes a combined approach for analyzing large sports events considering event days vs comparison days (before or after the event) and different user groups (residents vs visitors), as well as integrating sentiment analysis and topic extraction. Our results based on various analyses of tweets demonstrate that different spatial and temporal patterns can be identified, clearly distinguishing both residents and visitors, along with positive or negative sentiment. Furthermore, we could assign tweets to specific urban events or extract topics related to the transportation infrastructure. Although the results are potentially able to support urban planning processes of large events, the approach still shows some limitations including well-known biases in social media or shortcomings in identifying the user groups and in the topic modeling approach.

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Section: Urban Planning Social Media and Planned Large Eventsmentioning

confidence: 99%

#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

Kovács-Györi

Ristea

Havas

et al. 2018

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“…Tällaisia tviittaajan välittömiä reaktioita mediatekstiin on sosiaalisen television kontekstissa tutkittu aiemmin lähinnä teemoittelemalla tviittejä niiden tyylien ja sisältöjen perusteella (Wohn & Na 2011;Tuomi 2013;Giglietto & Selva 2014), mutta myös selvittämällä tviittipiikkejä eli sitä, missä kohtaa ohjelmaa on lähetetty eniten tviittejä (Anstead & O'Loughlin 2011;Alonso & Shiells 2013 ;Highfield ym. 2013;Yu & Wang 2015).…”

Section: Fanit Yleisöinä Yleisöt Faneina -Jalkapallokatsojuus Sosiaaunclassified

Livetviittaaminen jalkapallon MM-kisojen mediaspektaakkelissa – Sosiaalisen television faniutuva yleisö

Salomaa¹

2016

m&v

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Tässä artikkelissa tarkastellaan suomalaisen Twitter-yleisön faniutumista jalkapallon MM-kisojen mediaspektaakkelissa. 1 Tutkimusaineisto koostuu Ylen kisastudiolähetyksistä ja yleisön lähettämistä #ylemmfutis-tviiteistä vuoden 2014 jalkapallon MM-kisojen aikana. Fanius nähdään tutkimuksessa sosiaalisena konstruktiona, jota lähestytään diskursiivisen position käsitteen kautta. Televisiolähetystä ja yleisön livetviittaamista tarkastellaan kolmesta sosiaalisen television näkökulmasta (virtuaalinen olohuone, performatiivinen näyttämö, pseudoyhteisö), joissa faniuden keskeiset näkökulmat (affektiivisuus, aktiivisuus, sosiaalisuus) yhdistetään digitalisoitumisen myötä syntyneisiin uusiin viestinnän mahdollisuuksiin (reaaliaikaisuus, julkisuus, interaktiivisuus). Tutkimuksen perusteella mediaspektaakkeliin liittyvä fanius voidaan käsittää tietynlaisena trendifaniutena, jota leimaa faniuden hetkellisyys sekä yleisön ja fanin rajan hämärtyminen.

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“…Ondorioz, asko dira ekitaldi entzutetsuek Twitterren utzitako islaren ikerketa egin duten lanak, New Yorkeko Occupy Wall Street [1,2] mugimendua, Arabiar Udaberria [3] edo Munduko Futbol Txapelketa [4,5] Metodologia hau definituz eta kodea guztion eskura jarriz, euskal komunitate zientifikoak arlo honetan ikertzen jarraitzea dugu helburu nagusi lan honekin, euskarazko eta Euskal Herriko ekitaldiek sare sozialetan sortzen duten isla aztertuz euskal komunitatearen jarrera hobeto ulertzeko.…”

Section: Sarreraunclassified

“…Twitterrek berak ematen dituen estatistiken arabera 4 , 300 milioi erabiltzailetik gora dira hilero ekarpenen bat egiten dutenak, eta egunero 500 milioi txioren inguruan jasotzen ditu sare sozialak. Zaila da zehatz-mehatz txio hauen guztien artean euskarazkoak zenbat diren jakitea, baina Umap-ek 5 , euskarazko jarduna hein handi batean batzen duen tresnak, ematen ditu gutxi gorabeherako datu batzuk. Horien arabera 6 , 7.000 erabiltzaile baino gehiago dira nagusiki euskaraz txiokatzen aritzen direnak, eta 2015eko apirilean 226.000 txio inguru ziren euskarazkoak, egunean 7.539 batez beste.…”

Section: Twitterren Gaineko Ikerketaunclassified

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Euskahaldun: euskararen aldeko martxa baten sare sozialetako islaren bilketa eta analisia

Zubiaga

2016

EKAIA

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Laburpena: Gutxi dira sare sozialetan oinarrituz euskara landu duten ikerketa-lanak, eta are gutxiago Euskal Herrian ospatutako ekitaldiek sare sozialetan utzitako aztarnak aztertu dituztenak. Hutsune hori bete eta arlo honetan ikerketa sustatzeko asmoz, lan aitzindaria aurkeztea du helburu artikulu honek. Horretarako, «Euskahaldun» lemapean 2015eko Korrika martxak Twitter sare sozialean sortutako jarduna batzeko erabili dugun metodologia azaldu eta emaitza aztertzen dugu artikulu honetan. Gure analisiak erakusten duenez, zirrara handieneko momentuak Twitterren ere islatzen dira, txio kopuru handien bidez. Horrez gain, euskal komunitatean ikusgarritasuna lortu eta informazioa lau haizetara zabaltzeko ekitaldiarekin lotutako erabiltzaile kontu ofiziala eskaintzearen garrantzia erakusten dugu, eta baita kazetari eta komunikabideen partehar tzea ren beharra ere. Guztion eskura jarri ditugu Twitterrekin antzeko analisiak egiteko tresnak, antzeko ikerketa-lanak sustatzeko asmoz.Hitz-gakoak: sare sozialak, ekitaldiak, Twitter, jarrera, datu meatzaritza.Abstract: This work is motivated by the dearth of research that deals with social media content created from the Basque Country or written in Basque language. While social fingerprints during events have been analysed in numerous other locations and languages, this article aims to fill this gap so as to initiate a much-needed research area within the Basque scientific community. To this end, we describe the methodology we followed to collect tweets posted during Korrika, the quintessential exhibition race in support of the Basque language. We also present the results of the analysis of these tweets. Our analysis shows that the most eventful moments lead to spikes in tweeting activity, producing more tweets. Furthermore, we emphasise the importance of having an official account for the event in question, which helps improve the visibility of the event in the social network as well as the dissemination of information to the Basque community. Along with the official account, journalists and news organisations play a crucial role in the diffusion of information. In order to encourage others to perform further research in the field, we make all the tools publicly available.

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World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets

Cited by 193 publications

References 12 publications

#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

Livetviittaaminen jalkapallon MM-kisojen mediaspektaakkelissa – Sosiaalisen television faniutuva yleisö

Euskahaldun: euskararen aldeko martxa baten sare sozialetako islaren bilketa eta analisia

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