Future of Journalism - civil discourse technologies
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http://utscic.edu.au UTS Creative Cluster, Future of Journalism / 08.08.17 Simon Buckingham Shum • @sbuckshum
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Transcript of Future of Journalism - civil discourse technologies
http://utscic.edu.au
UTS Creative Cluster, Future of Journalism / 08.08.17
Simon Buckingham Shum • @sbuckshum
beyond comments+ threaded discussions
Flat commenting/Threaded discussionwhat everyone uses now
v easy to flame peopledoesn’t scale
threads may be meaninglesshard to make sense
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Example: a “scientific argument” on the British National Front website
“…on every measure of intellectual ability and educational attainment Blacks perform significantly worse, on average, than Whites. In the case of average IQ, for example, the average Negro figure is only 85% of the White average.”
“Readers can consult Race by Dr. John R. Baker, former Reader in Cytology at Oxford University, published by the Oxford University Press, or The Testing of Negro Intelligence, an exhaustive review of hundreds of studies demonstrating racial differences in intellectual ability by Dr. Audrey M. Shuey, and of course there is The Bell Curve by Herrnstein and Murray.”
Refuting the NF “negro intelligence” argument using argument mapping
Buckingham Shum, S. (2007). Undermining Mimetic Contagion on the Net: Argumentation Tools as Critical Voices. COV&R 2007: Colloquium on Violence & Religion, Amsterdam Vrije Universiteit July, 4-8 2007http://www.bezinningscentrum.nl/teksten/girard/c/c2007_Buckingham-Shum_Simon_abstract.htmhttp://www.slideshare.net/sbs/undermining-mimetic-contagion-on-the-net-argumentation-tools-as-critical-voices
DebateGraph http://debategraph.orghttp://debategraph.org/Stream.aspx?nid=21217&vt=spacetree&dc=1
Cohere: prototype annotation tool for weaving argumentative connections over the Web
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Rebecca is playing the role of broker,
connecting different peers’ contributions in
meaningful ways
We now have the basis for
recommending that you engage
with people NOT like you…
http://oro.open.ac.uk/10421 / https://www.youtube.com/watch?v=it7T3Q2Ff0M&t=5s
DebateHub
structuring deliberation with pros, cons, voting, and analytics on the health of the discussion
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https://debatehub.nethttp://catalyst-fp7.eu
Forotherexamplessee:http://cloudworks.ac.uk/cloudscape/view/2099
there’s value in slowing people down to make them more reflective
— but many won’t do it
what if AI could infer the quality of
contribution in everyday writing?
CIC’s automated feedback tool: feedback on analytical/argumentative or reflective writing
Infohttps://utscic.edu.au/tools/awa •UTSaccess:https://awa.uts.edu.au
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Highlighted sentences are colour-coded according to their broad type
Sentences with Function Keys have more precise functions (e.g. Novelty)
CIC’s automated feedback tool: analytical writing
CIC’s automated feedback tool: reflective writing
CIC’s automated feedback tool: reflective writing
CIC’s automated feedback tool: reflective writing
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CIC’s Text Analytics Pipeline (TAP) A set of linguistic analysis modules that can be tuned to different interests
Preparation of texts:text cleaning –> de-identification –> indexing –> metadata management
Analysis of texts:• Metrics: lengths of words, sentences, paragraphs, and statistics of these• Syllables: metrics at the word level based on syllables• Named Entities: e.g. names of People, Places• Statistics: e.g. noun-verb ratio• Vocabulary: compound words, occurrences at sentence, paragraph and document level• Expressions: epistemic, self-critique and affective compound words• Spelling: feedback on spelling and basic grammar• Rhetorical moves: in analytical and reflective writing• Complexity: measures of the complexity of words, sentences and paragraphs
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CIC’s Text Analytics Pipeline (TAP) A set of linguistic analysis modules that can be tuned to different interests
Training opportunities for UTS staff and students… https://utscic.edu.au/events
