Toward automating detection of human values in the nuclear power debate

Ishita, Emi; Oga, Toru; Cheng, An Shou; Fleischmann, Kenneth R.; Takayama, Yasuhiro; Oard, Douglas W.; Tomiura, Yoichi

doi:10.1002/pra2.2017.14505401127

Cited by 3 publications

(1 citation statement)

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“…Their resulting classifier achieves a level of accuracy similar to human annotators. Ishita et al (2017) demonstrated how human values might "motivate sentiment" toward the Fukushima Nuclear Disaster. The authors annotated a corpus of 2,100 newspaper articles relating to the event, using a handcrafted set of annotations related to human values, and trained a classifier to detect those values.…”

Section: Human Valuesmentioning

confidence: 99%

Understanding the Role of Human Values in the Spread of Misinformation

Farrell¹,

Piccolo²,

Perfumi³

et al. 2019

Proceedings of the Conference for Truth and Trust Online 2019

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Social media platforms are often implicated in the spread of misinformation for encouraging the behaviour of rapid-sharing without adequate mechanisms for verifying information. To counter this phenomena, much related research in computer science has been focusing on developing tools to detect misinformation, to rank fact-check-worthy claims, and to understand their spread patterns, while psychosocial approaches have been focused on understanding information literacy, ideology and partisanship. In this paper, we demonstrate through a survey of nearly 100 people that the Human Values could have a significant influence on the way people perceive and share information. We argue that integrating a valuesoriented perspective into computational approaches for handling misinformation could encourage misinformation prevention, and assist in predicting and ranking misinformation.

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Section: Human Valuesmentioning

confidence: 99%