{"scoreShow":"\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2","tryAgain":"\u0395\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7","scoreExplanation":"\u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9\u03c2 \u03ad\u03bd\u03b1\u03bd \u03b2\u03b1\u03b8\u03bc\u03cc. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c7\u03ac\u03bd\u03b5\u03b9\u03c2 \u03ad\u03bd\u03b1\u03bd \u03b2\u03b1\u03b8\u03bc\u03cc. \u0397 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 0.","question":{"settings":{"size":{"width":1300,"height":800}},"task":{"elements":[{"x":78.76712328767124,"y":77.91304347826087,"width":14.982191823661054,"height":9.41712333051037,"dropZones":["0"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

Disadvantage: The process is manual and the techniques is slow in a situation where there is a larga volume of information that requires verification.<\/span><\/strong><\/p>\n"},"subContentId":"0db03b5e-9aab-426c-b0a7-f9a4cf4c1176","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":1.1415525114155252,"y":51.94202898550725,"width":14.980758597317351,"height":11.270712935216894,"dropZones":["1"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

This techniques is based on the premise that no matter how smart someone is, the collective effort of individuals or groups supersedes any single individual intellectual capacity<\/span><\/strong><\/p>\n"},"subContentId":"df62e078-096c-4855-9bb3-88bd616498e1","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":55.93607305936073,"y":81.6231884057971,"width":14.980758597317351,"height":5.70564444206621,"dropZones":["1"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

An unfamiliar site could be marked as an untrusted site.<\/strong><\/span><\/p>\n"},"subContentId":"5ef00a15-525c-4612-acf2-daa821444fc9","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":27.397260273972602,"y":55.65217391304348,"width":15.202491795091323,"height":7.560667273116438,"dropZones":["0"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

Censoring false content by demoting its placement in ranking algorithms so that is lesslikely to be seen by users.<\/strong><\/span><\/p>\n"},"subContentId":"d9154171-adda-464f-a389-5638c053bddd","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":11.415525114155251,"y":81.6231884057971,"width":14.982191823661054,"height":6.633155857591324,"dropZones":["2"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

This method identify 8 types of clichbait such as Exaggeration, Teasing, Inflammatory, Graphic, Formatting, Bait-and-Switch, Ambiguous, Wrong.<\/span><\/strong><\/p>\n"},"subContentId":"3a8b7880-92e5-4baa-bb7b-742f41c4a99e","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":78.76712328767124,"y":57.507246376811594,"width":14.798154787385844,"height":5.70564444206621,"dropZones":["2"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

Disadvantage: Focuses only on clickbait fake news<\/strong><\/span><\/p>\n"},"subContentId":"e29613cc-0ec3-4c43-a9e2-b6396fa8e195","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":55.93607305936073,"y":50.08695652173913,"width":14.980758597317351,"height":10.344634746035483,"dropZones":["3"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

Their method represents news articles as nodes and matches related nodes or vertices together and fake news is then identified from using classification tasks.<\/strong><\/span><\/p>\n"},"subContentId":"f74b5de2-9ecc-4786-a2dd-257412dd2bff","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false},{"x":34.24657534246575,"y":77.91304347826087,"width":14.982191823661054,"height":4.9984169877283104,"dropZones":["3"],"type":{"library":"H5P.AdvancedText 1.1","params":{"text":"

This detection model investigates news content from homogeneous and heterogeneous networks.<\/span><\/p>\n"},"subContentId":"23f0f1dc-63d8-4b33-8a88-67b0325c23cc","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"backgroundOpacity":100,"multiple":false}],"dropZones":[{"x":0,"y":9.27536231884058,"width":19.477739726027398,"height":18.548779073915526,"correctElements":[],"showLabel":true,"backgroundOpacity":100,"tipsAndFeedback":{"tip":""},"single":false,"autoAlign":false,"label":"

Experts facts-checker apptoach<\/strong><\/div>\n"},{"x":25.114155251141554,"y":9.27536231884058,"width":19.477739726027398,"height":18.548779073915526,"correctElements":[],"showLabel":true,"backgroundOpacity":100,"tipsAndFeedback":{"tip":""},"single":false,"autoAlign":false,"label":"
Crowdsourced approach<\/strong><\/div>\n"},{"x":50.22831050228311,"y":9.27536231884058,"width":19.477739726027398,"height":18.548779073915526,"correctElements":[],"showLabel":true,"backgroundOpacity":100,"tipsAndFeedback":{"tip":""},"single":false,"autoAlign":false,"label":"
Machine learning approach<\/strong><\/div>\n"},{"x":75.34246575342466,"y":9.27536231884058,"width":19.477739726027398,"height":18.548779073915526,"correctElements":[],"showLabel":true,"backgroundOpacity":100,"tipsAndFeedback":{"tip":""},"single":false,"autoAlign":false,"label":"
Graph-based method<\/strong><\/div>\n"}]}},"overallFeedback":[{"from":0,"to":100}],"behaviour":{"enableRetry":true,"enableCheckButton":true,"showSolutionsRequiresInput":true,"singlePoint":false,"applyPenalties":true,"enableScoreExplanation":true,"dropZoneHighlighting":"dragging","autoAlignSpacing":2,"enableFullScreen":false,"showScorePoints":true,"showTitle":true},"grabbablePrefix":"\u03a3\u03c5\u03c1\u03cc\u03bc\u03b5\u03bd\u03bf \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf {num} \u03b1\u03c0\u03cc {total}.","grabbableSuffix":"\u0388\u03c7\u03b5\u03b9 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b7\u03b8\u03b5\u03af \u03c3\u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03b1\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2 {num}.","dropzonePrefix":"\u03a0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03b1\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2 {num} \u03b1\u03c0\u03cc {total}.","noDropzone":"\u039c\u03b7 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03b1\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2.","tipLabel":"\u0395\u03c0\u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7","tipAvailable":"\u0395\u03c0\u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7","correctAnswer":"\u03a3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7","wrongAnswer":"\u039b\u03ac\u03b8\u03bf\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7","feedbackHeader":"\u0391\u03bd\u03b1\u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7","scoreBarLabel":"\u03a3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03c3\u03b1\u03c4\u03b5 :num \u03b1\u03c0\u03cc :total \u03b2\u03b1\u03b8\u03bc\u03bf\u03cd\u03c2","scoreExplanationButtonLabel":"\u0395\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7 \u03b5\u03c0\u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2","a11yCheck":"\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd. \u039f\u03b9 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b8\u03b1 \u03bc\u03b1\u03c1\u03ba\u03b1\u03c1\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c9\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2, \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b7 \u03b1\u03c0\u03b1\u03bd\u03c4\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2.","a11yRetry":"\u0395\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0395\u03c0\u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c1\u03be\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae.","localize":{"fullscreen":"\u03a0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03bf\u03b8\u03cc\u03bd\u03b7","exitFullscreen":"\u0388\u03be\u03bf\u03b4\u03bf\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03bb\u03ae\u03c1\u03b7 \u03bf\u03b8\u03cc\u03bd\u03b7"}}

CUT 2.1