Police to arrest people based on 'Sentiment Analysis' of their Tweets (Updated)
Researchers at the University of Salamanca (USAL) have developed a 'Sentiment Analysis' (SA) algorithm that monitorsTwitter and Facebook.
Psychologist, Paul Ekman has worked with the CIA, DOD and DHS for years, helping develop facial emotion detection, click here to read more.
Our government is also using 'Emotive Analytics' (EA), to arrest and imprison innocent people!Ekman has provided training to a whole series of people who were guards at Abu Ghraib prison, to extract information and truth without torture. "They used my [facial analysis] work, and it was very successful," Ekman said.
It's only a matter of time, before police use Emotive Analytics to arrest Americans.
American policing of a person's sentiments, is this a joke?
Sadly, this is no joke.SA trains algorithms to extract subjective emotions and feelings from texts. SA is based on the 'Bayes theorem' and 'Granger causality’.
The Bayes theorem is P(A∣B)=P(B∣A)P(A)P(B). This basically states “the probability of A given that B is true equals the probability of B given that A is true times the probability of A being true, divided by the probability of B being true.”
According to Wikipedia, "the Granger causality test is a statistical hypothesis test for determining whether one time series is useful in forecasting another... Granger also stressed that some studies using "Granger causality" testing in areas outside economics reached "ridiculous" conclusions."
What they're really saying is, police will be using junk science to arrest citizens for harboring dangerous sentiments.
Police to detect and arrest people for dangerous sentiments
According to professor Juan Manuel Corchado, law enforcement could use the tool to detect , threats and areas with concentrations of potentially dangerous people. “It’s based both on the semantic analysis of messages and historical data and their evolution.”
SA's make classification decisions based on probabilities
SA looks for word counts and assigns them a probability. SA's try to determine if a data row should be classified as negative or positive. SA's generate word counts for negative and positive tones, that's it. SA's aren't a crystal ball, that tells law enforcement what a person is thinking!
SA's are rubbish
An article, titled RMP Media Analysis, claims SA's are rubbish. The article, mentions a couple of reasons to be suspicious of SA's...
If you substitute 'law enforcement' for "public relations and non-profit organizations" you'll begin to see the picture.
'Law enforcement' needs metrics to demonstrate their value to the government and public. You're a law enforcement agency, one of your primary stated goals is to increase funding.'
Presently, law enforcement can use SA's to spy on the sentiments of English, French, German, Russian and Arabic speaking people. SA's claim to see changes in an individuals’ sentiments and physical location while analyzing group interrelationships at the same time.
image credit: BBC
Police use dangerous sentiments [Tweets] to locate citizens
“It [SA] can establish where a dangerous user is located with reasonable precision, based on what they share on Twitter and how and with whom they are connecting at any time, without the need of geolocating tweets” Corchado claims.
Last week, I warned everyone that police were ranking 'influential citizens.'
"Influentials" are those individual seen as having importance or the ability to influence an individual’s actions. These can be both positive and negative influences.
Police to influence people and change their sentiments
SA's can identify members of a group, its leaders and followers. It is also possible to see how relationships evolve and whether new members join a group. In addition, Corchado claims, the tool can try to influence them to change their sentiments. Substitute, police for "tool" since they'll be the ones spying on influential people.
Updated 8/15:
According to a report, titled "The Impact Of Counter- Narratives" Facebook, Twitter, and Alphabet, Google's parent company used counter-messaging campaigns to combat propaganda from extremist groups.
The study recommends training a staff member [cop] to become an expert at using social media and marketing tools, and ensure that social media and marketing analytics are properly applied and monitored during the campaign. Also, staff members [cops] are to coordinate online counter-narrative campaigns with offline campaigns or events.
"Virality is very much a red herring when it comes to counter-narratives," says Tanya Silverman, project coordinator at ISD and co-author of the study.
Analyzing narratives and producing counter-narratives may be one way to cut the success of terrorist recruitment.. How long before cops use counter-narratives to interfere with Black Lives Matter protests etc.?
"Terrorists are very good at using stories to promote their ideologies and get their ideas out, so we need good stories to counter them and we have to be systematic about it," said Braddock. "You need to know the people you're going target with your counter-narrative beforehand and you need to know what narratives they are being exposed to by groups like ISIS. Essentially, you need to know your enemy and what messages they are aiming at people they're trying to recruit and radicalize" Penn State lecturer Kurt Braddock said.
Substitute the words protestors, or activists and you'll begin to see a truly disturbing picture, of how this will be used in America.
What they're really saying is soon cops will use counter-narratives to cut the success of dissent, protests etc.
To find out more about social network counter-narratives read DHS Corporation sorry, I meant Rand Corporation's study called "Examining ISIS Support and Opposition Networks on Twitter".
Cops to use emotion recognition
A company called Emotient, claims they can tell what a person is thinking, based on their attitudes and emotions. "Uses for emotion recognition and analysis are as varied and expansive as the imagination... Wherever there are cameras there can be video analysis of expressions, and an opportunity to learn about the customer’s state of mind as they emotionally respond to marketing, product and service experiences." (click here to see Emotient's second video)
Emotient delivers insights in the form of three key performance indicators (KPIs), and detailed data on emotions, for every face in each video frame:
Emotient KPIs
Attention – Is your advertising or product getting noticed?
Engagement – Are people responding emotionally?
Sentiment – Are they showing positive, negative or no emotion?
Microsoft & MIT own Emotive Analytics companies
EA must have a very profitable future, Microsoft and MIT have started two EA companies called Emotion API and Affectiva. (Click here to read about Microsoft's Cognitive Services) There are numerous companies in the EA business, Emotive Analytics, Eyeris, Kairos and nVISO are some of the many companies making money of a gullible America.Citizens to be given 'sentiment' and 'social disorder' ratings
If history is any indicator, citizens everywhere will be given 'sentiment' and 'social disorder' ratings.
Police in America are already giving citizens 'social disorder ratings' The Indianapolis Metropolitan Police Department (IMPD) is using a 'Social Disorder Index' (SDI) to determine the level of social disorder a location presents to its surrounding community.
Americans to be labeled as "insider threats"
The Department of Defense provides a non-exhaustive list of “insider threats,” which include, but are not limited to: “damage to the United States through espionage, terrorism, unauthorized disclosure of national security information, or through the loss or degradation of departmental resources or capabilities.”
Homeland Security is behind SA's
A video titled, 'Sentiment Analysis of Social Media Texts' reveals the National Research Council, Facebook, Google, and IBM are behind SA's. Click here, here & here to read about NRC's close relationship with DHS.
Fyi, Google's app store has at least five SA apps, GetAbout.Me, SplunkBase, Applause, Sentiment140 and Aylien. A recent TechCrunch article, reveals how SA apps are being used to predict everything from consumer opinions about veggies to stock prices.
Police are giving homes color-coded threat ratings
"The [911] database goes through all public information for the call’s location — from arrest records to pizza deliveries — and gives the address a rating. Green means minimal threat, yellow a possible threat and red a major threat."
"The RTCC system shows officers three pieces of data: the threat level, the criminal history of anyone living at the home and a list of known friends and family members. This list sometimes includes possible phone numbers and addresses of these associates."Applying tone, tonality or sentiment to Tweets and texts, is an exercise in futility and brings us one step closer to a total Police State.
Welcome to the future of American policing, where reality is turned upside down.
image credit: physics central