Posted on 07/21/2020 10:18:40 AM PDT by spintreebob
Researchers at Arizona State University this week announced work underway to develop artificial intelligence software that can detect fake news and help prevent the spread of disinformation.
The algorithm, called Defend, is being developed by ASU professor Huan Liu and doctoral student Kai Shu to scrutinize news being shared on social media and warn consumers of its potential falseness.
The idea of Defend is to create a transparent fake news detection algorithm for decision-makers, journalists and stakeholders to understand why a machine learning algorithm makes such a prediction, Shu said in an interview with ASU.
By using data sets of fact-checked news pieces that are understood to be false, as well some that are confirmed to be true, the machine-learning algorithm can be trained to predict what new information is likely fake and part of an attempt to spread disinformation, according to the researchers.
The algorithm also attempts to give users an explanation of why certain news is flagged as fake by analyzing the news content, as well as comments on the news posts.
One example is if one piece of fake news is claiming that the president is giving citizenship to some Iranians but this is a false claim, and we find a user comment talking about some additional evidence, such as, The president does not have the power to give citizenship, then this can help explain why this news is fake, Shu said.
The ability to spot fake news and disinformation is especially critical during the current pandemic to help people get critical health information and ensure theyre not misinformed by fake news, Shu said.
In the COVID-19 scenarios, there is a lot of misleading information and fake news, mostly about the public health domain, he said. We should be more diligent when we consume information online and be careful of the fact that not all information is genuine, and also be aware that we can be easily fooled.
A recent video shared on social media, for example, made false claims that the coronavirus was intentionally released.
Researchers at other universities have taken similar approaches to prevent the spread of fake news online; Duke University students developed a fact-checking program called FactStream, to verify the statements made by President Donald Trump during his 2019 State of the Union speech. Like ASUs algorithm, FactStream is still in its development phase but researchers said they believe the technology is promising.
Reality: Presidents do a lot of things they do not have the Constitutional power to do. DACA the most well known example. But many examples across many administrations exist.
Nobody outside a small cabal in China know the early days of the coronavirus. The fact is, we do not know.
AI is only as good as the BIAS fed into it.
AI said it. It must be true. Watch out for this new variation of the worship of SCIENCE.
GIGO.
Perhaps they can use it to warn of the current history curriculums being taught in schools today.
App is designed to pretend fake news is real and discredit real news.
Joe says, “120 million Americans have died from COVID-19” — mostly true, given enough time this could actually happen. Maybe.
CNN says, “Trump is worse than Hitler” — Confirmed. Evidence to the contrary has been debunked.
Trump says, “The 2020 election will be in November” — mostly False. It would be more accurate if the president had said that election will be held on the first Tuesday in November, which is actually what the law requires — he seems to think he can hold it any old time he wants in November, but even this president must follow the law!!
And who those persons actually?
Sounds real American. Get the F out of our country.
Exactly right. They use the preposterous example the coronavirus was intentionally released, but it is impossible to know this with any certainty. You can put together a lot of facts that logically support its intentional creation and release.
Based on that o e example, my real intelligence (not artificial) concludes this AI Fake News Checker will be nothing more than another tool to tamp down conservative constitutionalism and support Marxists.
The election is now spread out over MONTHS and does not end on Election Day.
Somehow I’m thinking of the stereotypical WWII movie — “Kozlowski! I want you and Goldstein to move to the right and take out that machine gun!”
We never seem to get movies where “Liu and Shu” attack a pillbox.
Given the model was developed in a university which are loaded with leftists, it should be viewed with suspicion.
i suspect the model works something like this:
Any news story published by Main Stream media = TRUE
Any news story NOT published by Main Stream media = FALSE
This cant begin to legitimately do what it claims to do.
>>In the COVID-19 scenarios, there is a lot of misleading information and fake news, mostly about the public health domain, he said. We should be more diligent when we consume information online and be careful of the fact that not all information is genuine, and also be aware that we can be easily fooled.
Fauci and others have flip flopped, ignored their own edicts, and admitted lying to the public early in the outbreak.
garbage in, garbage out
>>A recent video shared on social media, for example, made false claims that the coronavirus was intentionally released.
it most certainly was intentionally spread by China who sucked up the world’s existing inventory of protective masks, who closed their own borders to people from the region but watched them travel the globe, who’s superspreaders were caught on video spitting on elevator buttons and rubbing surfaces of every laptop on display at an electronics store and coughing at people in parks etc...
Huan Liu’s Short Bio Sketch
Dr. Huan Liu is a professor of Computer Science and Engineering at Arizona State University.
He obtained his Ph.D. in Computer Science at University of Southern California and
B.Eng. in Computer Science and Electrical Engineering at Shanghai JiaoTong University.
Before he joined ASU, he worked at Telecom Australia Research Labs and was on the faculty at National University of Singapore. At Arizona State University, he was recognized for excellence in teaching and research in Computer Science and Engineering and received the 2014 President’s Award for Innovation. His research interests are in data mining, machine learning, social computing, and artificial intelligence, investigating interdisciplinary problems that arise in many real-world, data-intensive applications with high-dimensional data of disparate forms such as social media. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He is a co-author of a text, Social Media Mining: An Introduction, Cambridge University Press. He is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction, and Field Chief Editor of Frontiers in Big Data and its Specialty Chief Editor of Data Mining and Management. He is a Fellow of ACM, AAAI, AAAS, and IEEE. More can be found at http://www.public.asu.edu/~huanliu.
Early voting, absentee voting, mail in voting start in early October in most places. In some places they probably start in September.
In some places they might continue after the first Tuesday after the first Monday in November .... until no voter is denied the right to vote.
“””He is a co-author of a text, Social Media Mining:””””
With the subtitle: “How I learned to spy on my neighbor”
Sounds like they are automating Snopes.
No one needs a computer algorithm for this
Unless it comes right out of our great and wonderful presidents mouth directly- it is fake news.
BINGO. Those who control the AI control what is called "fake news". They could, for example, tell the software that "hydroxychloroquine+Zinc+Z-paks is not an effective treatment for SARS-CoV-2". Or, they could tell it "Americans do not have the right to keep and bear arms." Garbage in, garbage out.
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