Microblogging during two natural hazards events: what twitter may contribute to situational awareness

By Sarah Vieweg, Amanda Lee Hughes, Kate Starbird, Leysia Palen. 2010

1,660 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Communication, Statistical and Nonlinear Physics

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Citations in the corpus

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “…quantiﬁed (Charmaz, 2014); can be used for in-depth explorations of quantitative measurements to validate or discern the nuances of their social meanings (Cranshaw et al., 2012; Tufekci, 2014); or can involve the development of codebooks to quantitatively code larger corpora (Vieweg et al., 2010).”
Rapid Adaptation of Neural Machine Translation to New Languages (2018, background): “When disaster strikes, news and social media are invaluable sources of information, allowing hu-manitarian organizations to rapidly mitigate crisis situations and save lives (Vieweg et al., 2010; Neu-big et al., 2011; Starbird et al., 2012).”
Assessing the utility of social media as a data source for flood risk management using a real‐time modelling framework (2017, background): “…and communication during times of crisis and natural disasters, such as during the 2011 Queensland flood and Thai flood (Starbird et al., 2010; Vieweg et al., 2010; Kongthon et al., 2012; Murthy and Longwell, 2012); the accuracy and validity of information provided by the public through…”
On the Interpretation of Digital Trace Data in Communication and Social Computing Research (2014, neutral): “Three specific interpretations predominate among the remaining articles: interest (Mustafaraj, Finn, Whitlock, & Metaxas, 2011; Vieweg, Hughes, Starbird, & Palen, 2010), trust (Adali et al., 2010; Castillo, Mendoza, & Poblete, 2011), and influence (Bakshy et al., 2011; Kwak et al., 2010).”
Detection and Resolution of Rumours in Social Media (2017, background): “…has been found useful for information gathering and coordination in different situations, including emergencies [Yates and Paquette 2011; Yin et al. 2012; Procter et al. 2013a], protests [Trottier and Fuchs 2014; Agarwal et al. 2014] and natural hazards [Vieweg et al. 2010; Middleton et al. 2014].”
Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake (2011, methodology): “The use of a microblogging system as a source for situation update in disaster response has been recognized by previous studies [25].”
TweetCred: Real-Time Credibility Assessment of Content on Twitter (2014, background): “Researchers have shown how Twitter plays a role during crises, providing valuable information to emergency responders and the public, helping reaching out to people in need, and assisting in the coordination of relief eﬀorts (e.g. [9, 12, 18]).”
Twitter as Data (2018, background): “Governments and individuals monitor Twitter during natural disasters to maintain situational awareness (Vieweg et al., 2010), and tweets even “detect” earthquakes (Sakaki, Okazaki and Matsuo, 2010).”
SensePlace2: GeoTwitter analytics support for situational awareness (2011, background): “…by the crisis management community (e.g., the August, 2010 Red Cross Emergency Social Data Summit [1]) and by researchers in crisis informatics [2] as a potentially rich source of time-critical information that can enhance situational awareness and alert practitioners to events and situations…”
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters (2018, background): “The use of social media such as Twitter, Facebook, and Youtube, has been explored in numerous studies (Imran et al. 2014; Vieweg et al. 2010; Imran et al. 2015; Terpstra et al. 2012; Tsou et al. 2017) for curating, analyzing and summarizing crisis-related information in order to make some decisions…”
Twitinfo: aggregating and visualizing microblogs for event exploration (2011, background): “Starbird, Vieweg and colleagues have contributed analyses of microblog usage and information lifecycles during crisis situations [27, 29].”
Information credibility on twitter (2011, neutral): “Twitter has been used widely during emergency situations, such as wildfires [6], hurricanes [12], floods [32, 33, 31] and earthquakes [15, 7].”
Twitter for crisis communication: lessons learned from Japan's tsunami disaster (2011, methodology): “Most of the past research about this issue had utilised quantitative data collection methods and focused on strategic keyword detection (Vieweg et al., 2010), perception of false RTs (Mendoza et al., 2010), and categorisation of the tweets sent during disasters (Sinnappan et al., 2010).”
#Earthquake: Twitter as a Distributed Sensor System (2013, background): “In the same direction, an analysis of Twitter activity from people on the ground during two emergency events (grass fires and river flooding) indicated the possibility of increased situational awareness through it (Vieweg et al. 2010).”
The Emerging Trends of Multi-Label Learning (2020, background): “With the fast development of social media, Microblogs and Twitter have shown as valuable information source during incidents, such as real-time detection of earthquakes [243], tracking of diseases [244], as well as the detection of fires and floods [245].”
Socializing in emergencies - A review of the use of social media in emergency situations (2015, background): “Studying Twitter communication during emergency events is challenging as access to tweets is short-lived, requiring quick decisions regarding what information to collect while the event is still in progress, but before its scope and data produced are fully understood (Vieweg et al., 2010).”