Embracing human noise as resilience indicator: twitter as power grid correlate

LaLone, Nicolas; Tapia, Andrea H.; Zobel, Christopher W.; Caraega, Cornelia; Neppalli, Venkata Kishore; Halse, Shane E.

doi:10.1080/23789689.2017.1328920

Cited by 10 publications

(10 citation statements)

References 30 publications

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“…Twitter), possibly as a social sensor and get information on this direction. Some early results on power grids prove the potential benefits to further research on the topic (LaLone et al 2017 ; Heglund et al 2020 ).…”

Section: Discussionmentioning

confidence: 97%

Reviewing qualitative research approaches in the context of critical infrastructure resilience

2021

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Modern societies are increasingly dependent on the proper functioning of critical infrastructures (CIs). CIs produce and distribute essential goods or services, as for power transmission systems, water treatment and distribution infrastructures, transportation systems, communication networks, nuclear power plants, and information technologies. Being resilient becomes a key property for CIs, which are constantly exposed to threats that can undermine safety, security, and business continuity. Nowadays, a variety of approaches exist in the context of CIs’ resilience research. This paper provides a state-of-the-art review on the approaches that have a complete qualitative dimension, or that can be used as entry points for semi-quantitative analyses. The study aims to uncover the usage of qualitative research methods through a systematic review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The paper identifies four principal dimensions of resilience referred to CIs (i.e., techno-centric, organisational, community, and urban) and discusses the related qualitative methods. Besides many studies being focused on energy and transportation systems, the literature review allows to observe that interviews and questionnaires are most frequently used to gather qualitative data, besides a high percentage of mixed-method research. The article aims to provide a synthesis of literature on qualitative methods used for resilience research in the domain of CIs, detailing lessons learned from such approaches to shed lights on best practices and identify possible future research directions.

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Section: Discussionmentioning

confidence: 97%

Reviewing qualitative research approaches in the context of critical infrastructure resilience

2021

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“…During this process we consulted categories developed in prior content analyses of crisis-related social media [26,31]. While coding we noticed a diversity of information reporting forms of infrastructure damage prior studies suggest can support situational awareness during a crisis, including tweets reporting damage to buildings [26], roadways [12,33], and electrical infrastructure [4,17]. While this work informed our grounded analysis, the data we encountered revealed types of information that unpacked categories developed in prior research.…”

Section: Qualitative Content Analysismentioning

confidence: 92%

“…To effectively collect social media data that can support situational awareness among crisis responders and affected citizens during a crisis has long motivated researchers and systems designers [34]. In the case of Twitter, efforts have been made to collect tweets providing situational reports of events "on the ground" in order to assess damage caused by earthquakes [3], gauge flood levels [1], detect power outages [4,17], and support the work of crisis responders and digital volunteers [7,14].…”

Section: Introductionmentioning

confidence: 99%

Expanding Awareness: Comparing Location, Keyword, and Network Filtering Methods to Collect Hyperlocal Social Media Data

Grace¹,

Halse²,

Aurite³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Opportunities to collect real-time social media data during a crisis remain limited to location and keyword filtering despite the sparsity of geographic metadata and the tendency of keyword-based methods to capture information posted by remote rather than local users. Here we introduce a third, network filtering method that uses social network ties to infer the location of social media users in a geographic community and collect data from networks of these users during a crisis. In this paper we compare all three methods by analysing the distribution of situational reports of infrastructure damage and service disruption across location, keyword, and network-filtered social media data during a weather emergency. We find that network filtering doubles the number of situational reports collected in real-time compared to location and keyword filtering alone, but that all three methods collect unique reports that can support situational awareness of incidents occurring across a community.

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“…Social media platforms, e.g., Twitter, Instagram, Facebook, TikTok among others, are playing a major role in facilitating communication among individuals and sharing of information. Social media, and in particular Twitter, are also actively used by governments and health organizations to quickly and effectively communicate key information to the public in case of disasters, political unrest, and outbreaks (Househ, 2016;Stefanidis et al, 2017;LaLone et al, 2017;Daughton and Paul, 2019;Rogers et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

Tziafas¹,

Kogkalidis²,

Caselli³

2021

Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda

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This paper describes the TOKOFOU system, an ensemble model for misinformation detection tasks based on six different transformer-based pre-trained encoders, implemented in the context of the COVID-19 Infodemic Shared Task for English. We fine tune each model on each of the task's questions and aggregate their prediction scores using a majority voting approach. TOKOFOU obtains an overall F1 score of 89.7%, ranking first.

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Embracing human noise as resilience indicator: twitter as power grid correlate

Cited by 10 publications

References 30 publications

Reviewing qualitative research approaches in the context of critical infrastructure resilience

Reviewing qualitative research approaches in the context of critical infrastructure resilience

Expanding Awareness: Comparing Location, Keyword, and Network Filtering Methods to Collect Hyperlocal Social Media Data

Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

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