Detect Fake News in Python with Tensorflow from Coursera

"Fake News" is a word used to mean different things to different people. At its heart, we define "fake news" as any news stories which are false: the article itself is fabricated without verifiable evidence, citations or quotations. Often these stories may be lies and propaganda that is deliberately intended to confuse the viewer, or may be characterized as "click-bait" written for monetary incentives (the writer profits on the number of people who click on the story). In recent years, fake news stories have proliferated via social media, partially because they are so readily and widely spread online. Worse yet, Artificial Intelligence and natural language processing, or NLP, technology is ushering in an era of artificially-generated fake news. Both types of fake news are detectable with the use of NLP and deep learning. In this project, you will learn multiple computational methods of identifying and classifying Fake News. Note: This course works best for learners who are based in the North America region. Weâ€™re currently working on providing the same experience in other regions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Sharpens pre-existing expertise for learners who have already established a strong foundation

Involves use of a variety of media to deliver material, including videos and discussions

May be especially valuable for students seeking to understand topics in innovation

Reviews summary

Challenging but interesting

This course on detecting fake news in Python with Tensorflow receives mixed reviews from learners. While one learner found the topic interesting and the instruction good, another learner experienced difficulties following along due to the lack of a Jupyter Notebook environment and unclear video instruction. The learner who experienced difficulties ended up running out of time and spent more time debugging their code than learning.

Good instruction.

"Interesting topic! Good instruction."

Interesting topic.

"Interesting topic! Good instruction."

Unclear video instruction.

"Also, in one of the videos, the instructor neglects to point out a lot of miscellaneous edits made to the code (he obviously cut out a few portions from the video where he made edits), so it became very confusing as I was trying to compare my code to his in order to debug."

Should have been done in Jupyter Notebook.

"This was very hard to follow along, not necessarily because of the difficulty level of the content. Because this wasn't done in a Jupyter Notebook, I wouldn't realize that I had an error anywhere in my code until I ran the whole file."

Spent more time debugging than learning.

"I ended up spending way more time trying to debug my code rather than trying to understand what my code was doing."

Career center

Learners who complete Detect Fake News in Python with Tensorflow will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

A Natural Language Processing Engineer designs, develops, and maintains Natural Language Processing systems. As this course's focus is on Natural Language Processing and Fake News detection, it would provide a deep dive into the exact technologies Natural Language Processing Engineers work with. This course would be useful for any Natural Language Processing Engineer, and especially those interested in Fake News detection.

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Information Security Analyst

An Information Security Analyst protects an organization's computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course dives into Fake News detection, which has become an increasingly relevant topic for Information Security Analysts as fake news can be used to spread malware, phishing attacks, and ransomware. This course is highly relevant for Information Security Analysts.

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Computational Linguist

A Computational Linguist combines computer science and linguistics to analyze and understand human language. Natural Language Processing, a major topic of this course, is critical for Computational Linguists when performing their work. This course may be useful for current Computational Linguists, as well as for those interested in getting started in the field.

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Cybersecurity Analyst

A Cybersecurity Analyst protects an organization’s computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course will help Cybersecurity Analysts understand how to detect Fake News, which can be used to spread malware, phishing attacks, and ransomware. This course would be especially useful for Cybersecurity Analysts who work with threat intelligence.

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Fraud Analyst

A Fraud Analyst investigates and prevents fraud. This course covers Fake News detection, which has become increasingly sophisticated and can be used to facilitate fraud. Fraud Analysts may find this course useful, as it can help them stay up-to-date on the latest Fake News detection techniques.

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Media Analyst

A Media Analyst analyzes media content to identify trends and patterns. This course will help Media Analysts understand how to detect Fake News, which is an increasingly important skill in the digital age. This course would be especially useful for Media Analysts who work with social media analysis.

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Journalist

A Journalist researches, writes, and reports on news and current events. This course will help Journalists understand how to detect Fake News, which is an increasingly important skill in the digital age. This course would be especially useful for Journalists who cover politics or social issues.

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Digital Marketing Specialist

A Digital Marketing Specialist plans and executes marketing campaigns across digital channels such as search engines, social media, email, and websites. This course will help Digital Marketing Specialists understand how to detect Fake News, which can be damaging to brands and organizations. This course would be especially useful for Digital Marketing Specialists who work with social media marketing.

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Public Relations Specialist

A Public Relations Specialist manages and disseminates information between an organization and its key publics. This course will help Public Relations Specialists understand how to detect Fake News, which can damage an organization’s reputation. This course would be especially useful for Public Relations Specialists who work with media relations.

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Law Enforcement Officer

A Law Enforcement Officer enforces the law and protects the public. This course will help Law Enforcement Officers understand how to detect Fake News, which can be used to spread misinformation and incite violence. This course would be especially useful for Law Enforcement Officers who work with community policing or homeland security.

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Data Analyst

A Data Analyst collects, analyzes, interprets, and presents data to help organizations make better decisions. This course on Fake News detection uses Natural Language Processing and deep learning, two techniques often employed by Data Analysts when parsing through data for insights. By taking this course, you will build a strong foundation in the technologies Data Analysts utilize.

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Machine Learning Engineer

A Machine Learning Engineer designs, develops, and maintains machine learning systems. Like Artificial Intelligence Engineers, Machine Learning Engineers often utilize Natural Language Processing and deep learning when building their systems. This course provides a foundation in both topics, making it a good starting point for those interested in Machine Learning Engineering.

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Data Scientist

A Data Scientist uses data to build models, which can be used to understand patterns and make predictions. In this Techonology Intelligence course, you will learn about Natural Language Processing and Artificial Intelligence. Both are key components of helping Data Scientists create quality models. This course may be useful in understanding the building blocks of Data Science, as well as providing a good foundation for some of the tools Data Scientists utilize.

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Artificial Intelligence Engineer

An Artificial Intelligence Engineer designs, develops, and maintains AI systems. This Fake News detection course dives into Artificial Intelligence techniques such as Natural Language Processing and deep learning. These technologies form the backbone of many of the AI systems that Artificial Intelligence Engineers build, so this course may be useful in getting started in the field.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. While the focus is typically not on utilizing Artificial Intelligence or Natural Language Processing, this course may be useful for Software Engineers who want to add these technologies to their skillset.

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Detect Fake News in Python with Tensorflow

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Challenging but interesting

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