Using Interface Design for Click Fraud and Fat Finger Clicks

By making the X button harder to trace, and making the AD cover the whole view (of video or website (see http://www.hindustantimes.com and youtube.com)

 

 

Both Social Media, Websites and Mobile Ads are encouraging deceptive Click Through Rates. (Porn sites of course are the innovators in this)

Part of this is a reaction for ad-blocking software.

the combat between the two would be interesting to watch

http://adage.com/article/digital/facebook-cracks-ads-trick-fat-thumbs-click/310051/

Facebook Cracks Down on ‘Fat-Finger’ Accidental Ad Clicks

If a person bounces back from an ad in less than two seconds, Facebook won't charge for the click.
If a person bounces back from an ad in less than two seconds, Facebook won’t charge for the click. Credit: istock

Facebook wants to fix the pile-up of “fat fingers” and hair-trigger mobile ads that lead to unintended clicks.

The company has decided to stop charging advertisers in its Facebook Audience Network if a person clicks on a mobike ad but backtracks within two seconds. That’s a telltale sign of an accidental click, according to Brett Vogel, Facebook’s product marketing manager.

Are algorithms evil?

Google AI + US military . Is it good, is it bad or is it evil

https://www.theguardian.com/technology/2018/mar/07/google-ai-us-department-of-defense-military-drone-project-maven-tensorflow

DoD’s Project Maven uses tech firm’s TensorFlow artificial intelligence systems, prompting debate both inside and outside company

Project Maven forms part of the $7.4bn spent on AI and data processing by the DoD, and has seen the Pentagon partner with various academics and experts in the field of AI and data processing. It has reportedly already been put into use against Islamic State.

Google spokesperson said: “This specific project is a pilot with the Department of Defense, to provide open source TensorFlow APIs that can assist in object recognition on unclassified data. The technology flags images for human review, and is for non-offensive uses only.”

  1. Terrorists deserve to die
  2. Civilians should be spared from attacks
  3. Better image classification in drones can lead to better decisions on killing terrorists versus collateral deaths.
  4. Civilian deaths further the cause of terrorism
  5. Terrorists often embed them with civilians as shields to deter airstrikes
  6. What is the definition of evil?

WHO IS EVIL

  • A civilian turns to a terrorist because his family was killed in a bad drone strike?
  • A government diverts terrorism funds from terror funds to corruption?
  • A government that keeps killing smaller number of terrorists based on events a decade ago to keep the military industrial complex in good shape for the next war?
  • The computer scientist who created a classification algorithm to detect cancer tumors in MRI?
  • The company that employs him and owns the algorithm , hands it to the government for killing people or any usage in return for money as well as help in anti -trust matters.

Fighting Fake News and Fake Tweets

We live in the age of misinformation. Tweets, Shares, Likes , Comments, Social Media Spam cleverly and cunningly disguised to influence sentiment, amplify it or distort it, by both domestic and foreign actors using automated and manual methods.

The only way to counter social media manipulation is better big data social media analysis in real time. This includes better applications of topic models, sentiment analysis and correlation and association of words in text mining. Bag of words would fail alone.

Better Math is the solution to fake news and social media manipulation

Oft repeated lies become the truth

Repeat a lie often enough and it becomes the truth”, is a law of propaganda often attributed to the Nazi Joseph Goebbels. The 2016 election showed how critically timed social media news can damage fatally the candidacy of electoral candidates with little or no remedy in law. (It is not illegal to spread rumours in a foreign country).

Yet tech majors can help. With browser embedded plugins, they can analyze and scrutinize the sentiment, the polarity, the word association of a web page. With the added advantage of IP address lookups, the social media can be a fair place for  news just like  credit bureaus are fair places for credit ratings.

Unless you like Russian Hackers for the people, of the people, by the people.

See http://bit.ly/hackeRusski

https://web.stanford.edu/~gentzkow/research/fakenews.pdf

fakenews