ai-empowered real-time news monitoring · 島民衛星 ai-empowered real-time news monitoring...
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島民衛星AI-Empowered Real-Time News Monitoring
Yun-Nung (Vivian) Chen 陳縕儂
“
“Misinformation is not like a plumbing problem we fix.
It is a social condition, like crime, that you must
constantly monitor and adjust to.”
Tom RosenstielAuthor, Director of the American Press Institute
Senior Fellow at the Brookings Institution
Islander 島民衛星AI-Empowered Real-Time News Monitoring
◉ focuses on empowering readers to understand
○ news delivered v.s. news received
○ media intention
○ real public opinions
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Islander 島民衛星AI-Empowered Real-Time News Monitoring
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2020 Aug 12
News | Social Media
輿論
媒體品質分析
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Measuring the quality by state-of-the-art AI techniques
Problems in News Media
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傳聞Hearsay
偏頗Bias
煽動Sedition
Indicators for Trustworthiness
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陳述事實引用充足
中立不偏頗 客觀不煽動
Indicators for Trustworthiness
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陳述事實引用充足
中立不偏頗Neutrality
客觀不煽動
Stand Detection Analysis
◉ 非種族歧視！川普狂稱「中國病毒」怪陸另有目的
◉ 管你的！川普就是要稱「中國病毒」筆記露玄機
◉ 川普、習近平通電話談新冠肺炎疫情 嘆對大陸有點失望
◉ 川普擬砸1兆美元救經濟 每人發一千美元紓困
◉ 川普國情演說上演感人一幕 軍人現身與妻兒團聚
◉ 川普厲害 疫情嚴峻也無法拉低他的民調
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news article
中國稱同意台灣參與WHO論壇外交部15字霸氣回應
外交部 ..
偏頗判斷：同一事件中立場相異
台灣媒體 v.s. 中國官媒
◉ Among 2,488 entities, there are 691 (28%) entities with disagreement
between Taiwan media and China media.
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China Media中國共產黨、一帶一路、陳薇、黨
中央、騰訊...老共、五毛、法輪功、和平醫院、
美帝...
Taiwan Media台灣、唐鳳、U.S.、蔡英文、哥本
哈根...中共大外宣、中國駐日本大使館、
孫立軍、德塞...
台灣媒體與中國媒體立場差異很大
Indicators for Trustworthiness
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陳述事實引用充足
Credibility
中立不偏頗 客觀不煽動
Fact / Opinion Analysis
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時代力量立委、小燈泡的媽媽王婉諭日前因為表態支持罷韓，遭到李來希發文痛批，「小燈泡的頭顱已經被她的媽媽踢到了高雄」，引發網友的眾怒撻伐。對此，台北市長柯文哲14日赴議會時被問及李來希言論是否過於偏激。他撂重話表示「把他送到地獄就好」。
[事實] [引述事實] [意見]
news article
事實引用判斷：意見陳述佔據文中比重較低
Indicators for Trustworthiness
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陳述事實引用充足
客觀不煽動Objectivity
中立不偏頗
Sentiment Analysis
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Level of Sedition
極度失望
驚人
Sedition Measurement
◉ Automatically detected seditious news
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NBA／美國參議員批評NBA親中沃神粗魯飆罵：F**K You！
反港版國安法！政大連儂牆現「八句血淚文」台人超心疼
不爽店家稱「武漢肺炎」 黃安當場塗改遭轟：滾出台灣
曾罵習近平無恥！教授遭北京清大解職
引火自焚？數位諸葛亮瞎烙「原諒的英文」網友「翻譯KMT」狠打臉
酸高雄「充滿仇恨」？李明依遭譙爆怒回：你們幫到高雄了嗎？
客觀不煽動判斷：標題字詞煽動性較低
輿論風向分析
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Analyzing the trend by state-of-the-art AI techniques
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口罩外交 @ Twitter Public Opinions
◉ 2020/04/01 我國總統宣布口罩外交○ 03/24~04/13 #Taiwan + #TaiwanCanHelp 的貼文數量分析
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口罩外交官員政要貼文
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聲量與政要貼文之關係分析
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1,232 post/day
(En 808, Ch 106)
2,377 post/day
(En 1,415, Ch 217)成長倍率：All 193%, En 175%, Ch 205%
口罩外交政策前後主題分析
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主要討論台灣 v.s. 中國台灣 v.s. WHO
偏向負面
較多TaiwanCanHelp
Thanks Taiwan
等討論
口罩政策在輿論上有明顯正面影響效果
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Who Saied Sorry to Tedros
◉ Twitter hashtag events
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#saysrytoTedros #ThisAttackComesFromTaiwan
Who Saied Sorry to Tedros
◉ User account analysis (following)
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#saysrytoTedros #ThisAttackComesFromTaiwan
Who Saied Sorry to Tedros
◉ User account analysis
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#saysrytoTedros #ThisAttackComesFromTaiwan
#saysrytoTedros 貼文使用者明顯屬於少數某一種群體
Information Propagation Pattern
◉ Normal pattern examples
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Information Propagation Pattern
◉ Abnormal pattern examples
27Abnormal patterns help identify disinformation
“
“Information is only as reliable as the people who are
receiving it. If readers do not change or improve their ability
to seek out and identify reliable information sources,
the information environment will not improve.
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Julia KollerA learning solutions lead developer
Magic Quadrant
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TRUSTWORTHINESS
PO
PU
LA
RIT
Y
TO BE MONITORED LEADERS
TO BE PROMOTEDNICHE
for Improving
News EcosystemEmpowering readers to be aware of the received information
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Questions?
Thanks!