About the Credible Web CGFraming the Problem: Can we shift the Web to empower end users in their ongoing efforts to decide which web content is trustworthy and to avoid being deceived?Incremental approach: Establish common vocabularies (schemas) * for sharing data on the web * relevant to credibility assessment * (schema.org is accepted in news industry) What might folks share that will help others know what to trust?Credible Web Community GroupCWCG_e824b314-5406-11e8-81a7-32a85ff45d45W3CSandro HawkeW3C FellowDeception is avoided_e824b44a-5406-11e8-81a7-32a85ff45d45To empower users to decide which web content is trustworthy_e824b4ea-5406-11e8-81a7-32a85ff45d45TrustworthinessInspectionIdentify and annotate content features that signal credibility_e824b580-5406-11e8-81a7-32a85ff45d451Content and content providers may have observable features that statistically signal credibility. Can the CG identify these features and allow them to be annotated? * example: "emotionally charged tone" Annotation by: friends, volunteers, paid sources, AI Usable by search, feed algorithms, UI Risks: gameability arms race, like SEO Early draft at https://credweb.org/cciv_e824b67a-5406-11e8-81a7-32a85ff45d45CorroborationIdentify and check claims against evidence_e824b71a-5406-11e8-81a7-32a85ff45d452Identify claims in content; check them against evidence See: Int'l Fact-Checking Network, ClaimReviewFact CheckingHelp Fact-Checkers_e824b7b0-5406-11e8-81a7-32a85ff45d452.1Fact CheckersInput-Side (Helping Fact-Checkers)CheckabilityCollaborate on identifying checkable claims_e824b846-5406-11e8-81a7-32a85ff45d452.2Urgency & DemandShare urgency/demand data_e824b8dc-5406-11e8-81a7-32a85ff45d452.3ContextAdd context (time, geo) to claims_e824b972-5406-11e8-81a7-32a85ff45d452.4Claim ReviewReview claims_e824ba1c-5406-11e8-81a7-32a85ff45d452.5Output-Side (Claim Review)ProvenanceExpose provenance_e824babc-5406-11e8-81a7-32a85ff45d452.6Cross LinkagesCross-link to increase trust_e824bb5c-5406-11e8-81a7-32a85ff45d452.7Nuance & DetailConvey more nuance/detail_e824bc10-5406-11e8-81a7-32a85ff45d452.8ReputationHelp people maintain and use their trust networks_e824bcb0-5406-11e8-81a7-32a85ff45d453Risks: * asymmetry: humans see negative info as more salient * coerced statements (eg need for secret ballot) Vocab example: { <example.com> :domainCredibility 0.80 }Human/Machine CollaborationBetter human/machine collaboration around trust_e824bd50-5406-11e8-81a7-32a85ff45d453.1Network ChoiceAllow end-users to pick their roots of trust network_e824bdfa-5406-11e8-81a7-32a85ff45d453.2SourcesHelp users track quality of sources_e824be90-5406-11e8-81a7-32a85ff45d453.3Contacts, Followers & Co-AuthorsBootstrap from contacts, followers &/or co-authoring_e824bf26-5406-11e8-81a7-32a85ff45d453.4Bootstrap from: contacts? followers? co-authoring?2018-05-092018-05-10http://hawke.org/talk-ac-2018/#/update-on-credible-web-cgOwenAmburOwen.Ambur@verizon.net