Month: August 2017

The Bullsh**ters & the SocialBots (Vol. IV) Verified &Tweeting a Good Game

“Ignorance of the law excuses no man: Not that all men know the law, but because ’tis an excuse every man will plead, and no man can tell how to refute him.”- John Selden (English antiquarian & jurist (1584–1654))

Muhammad Ali talked (a lot), but he also took care of business. Imagine how many re-tweets and likes “Float like a butterfly, sting like a bee” would have earned.

There’s no shortage of Ali like people genuinely engaged on Twitter today. It’s also not difficult finding profiles where the actions don’t come close to equaling the claims. Equating a high volume tweeting machine that’s essentially an automated CyborgBot, as someone who genuinely cares about what they shares is difficult to fathom. There’s nothing human or genuine about handing a social profile over to a machine.

In this case, the in-human volume of tweets didn’t grab our attention. Seeing most of the re-tweets and likes are being generated by SocialBots is when we take notice. By extension this behavior is contributing to the overall ecosystem of fake, and therefore warrants a place on the Bullsh**ters list.

David Papp is in this weeks spotlight particularly because there’s a blue check-mark next to his name as well.

We’ve documented an established pattern of anti-social tendencies. For instance, these first two tweets fake profiles generated the 14 combined re-tweets and 10 of the respective 12 likes. We also appreciate there’s a touch of irony to these because, we believe there is a distinct potential cyber-threat connected to the SocialBots manipulating and inflating these social metrics.

These next two tweets have zero human engagement.

Running a scan and mapping 50 re-tweets renders a visual snapshot of SocialBot handiwork (all 50 are verified Bots). To believe this is organic and freely occurring social behavior is like expecting it’s Santa who ate those cookies left on the hearth.

Besides using non-human engagement to amplify the messages and inflate social metrics, there are other issues connected to this problem such as:

Making it easier for fake profiles extend their reach to social platforms. We see many of these profiles with Facebook, Instagram, SnapChat, and LinkedIn “credentials.”

Social profiles automation makes it easier for operations with ill-intentions to exploit via auto-follow back; auto-thanks for the following or adding to a list or liking… it’s like rolling out the red carpet for SocialBots to infect your social presence.

These SocialBots are like content mercenaries, doing anything to drive clicks for cash, compromise the unwitting, and further propagate misinformation. The security risk they present is real, as is the risk to reputations. This small collection of tweets is representative of how these SocialBots surface their feeds with legitimate content, paid content, and anything topical to grab a moment of attention.

Pointing fingers at others who are managing a social profile is a hollow protest. Abdicating personal responsibility or wrapping oneself in a shroud of plausible deniability is indefensible. In this specific case, David Papp’s approach to using Twitter is also diminishing the value of a verified profile.

It’s troubling how this behavior has become a symptom of a bigger societal ill. These questionable actions of one, becomes a pattern of the many and is ultimately contributing to the erosion of trust.

Pew Research Center recently published, The Fate of Online Trust in the Next Decade suggestingthe emergence of trust-jarring digital interactions has also coincided with a sharp decline in trust for major institutions, such as government(and Congress and the presidency), the news media, public schools, the church and banks.”

The ecosystem of fake is a global, complex, and extensive problem that currently defies any single technological solution. Yet, as they’re uncovered the participants can be exposed. If we want less fake, it’s ultimately an individual choice to become more real.

“In a good hell people are aware they are living in hell and so they want to transform it, but after living a long time in a fake paradise, people become accustom to it, and they actually believe that they are already in paradise.” — Chan Koonchung (The Fat Years)


Mentionmapp Investigates: See if your social reputation is at risk.Contact: john [at] mentionmapp [dot] com for a Bot investigation and network analytics risk assessment. As Used By –

Penned by John (cofounder).

Mentionmapp— See’s who’s talking with who, and who’s talking about what. Discover more.#networkanalysis

#FakeNews getting Real. SocialBots Swamping ProPublica

“In a time when society is drowning in tsunamis of misinformation, it is possible to change the world for the better if we repeat the truth often and loud enough.”
Alberto Cairo, The Truthful Art: Data, Charts, and Maps for Communication

Occasionally some maps unfold with the immediate burning question, “what’s going on here?” That’s exactly what happened Friday (Aug. 25) around 10:00am (PST) when the hashtag #FakeNews looked like this —

The top right cluster of tightly packed profiles called for attention. All the profiles lighting-up as Bots was the hook. At first glance we looked at the four profiles (@Apple stands out) getting most of their attention.

We then noted the #FakeNews tweets:

Seeing this onslaught directed at ProPublica, their journalists and Open Society Foundations, there’s little doubt what’s afoot. With over 12,500 plus re-tweets in barely four hours it’s apparent those behind this campaign were on a mission of flooding the hashtag. The originator of the tweet leaves little doubt how this serves as an example of a computational misinformation campaign in action.

Like a “release the Kraken” moment this is a significant SocialBot propelled initiative.

Of the few hundred profiles we connected to this tweet and verified as Bots, they all have essentially the identical “personalities”.

They all have joined Twitter in June, July or August 2017.

They’re all noise, but no audience to hear it. Each profile in many cases is following no one, nor had any followers.

Their feeds are almost identical tweet for tweet.

https://twitter.com/yoiyakujimin/status/901062342208782336

From our relatively small sample size, we were not able to document any real profiles among the re-tweeters.

Visually connecting a network non-human agents working in such orchestrated fashion is like seeing one small swamp in the overall ecosystem of fake at work. This massively deliberate attempt to erode the public trust in journalism, and in each other is a poison. It’s also a sobering reminder that communication technologies envisioned for good, are of equal utility to those of ill-intent.


Mentionmapp— See’s who’s talking with who, and who’s talking about what. Discover more. #networkanalysis

The Bullsh**ters & The SocialBots (Vol. III) Prophets of Utopia

picture from Pixibay

“Technological progress has merely provided us with more efficient means for going backwards.”Aldous Huxley

In a very small way it’s deliciously ironic that a small army of SocialBots are spreading the a message of “safeguarding humanity.” But, the reality of unmasking fake profiles and their deceptively cloaked messages is where we lose the irony. It’s also the why we’re adding the Lifeboat Foundation to our bullshitters list.

This microbe in the pathogenic ecosystem of fake, proves Tweet in and re-Tweet out to be a serial SocialBot abuser. Seeing a Tweet where SocialBots are serving as promotional agents for a computational intelligence symposium is too irresistible not to highlight. In this case the first 25 re-Tweets and 25 Likes were all boosted by different Bots.

In this next example, we verified 25 of the first 25 re-tweets are courtesy fake profiles. However, four real profiles got into the act by adding their likes to the first 25.

Elon Musk getting Bot propelled advice seems like a moment worth pondering.

It’s seeing consistent patterns of fake behavior that warrants attention. Looking at this collection of Lifeboat Foundation network maps we can verify that only 12 real profiles are responsible for these 100 re-Tweets. This isn’t an anomaly, it’s chronic behavior.

Being a willing participant or not, the Lifeboat Foundation is an active agent in the ecosystem of fake. Like that person in a packed elevator who coughs without covering their mouth, they’re spreading a sickness any unwilling bystanders want nothing part of.

By cutting corners and using fake profiles to share their technocratic-Utopian prophecies, it’s seems only fair to ponder what other chicanery could be going on.

Next week, we’ll reveal a verified Twitter user’s affinity for SocialBots.


Mentionmapp Investigates: See if your social reputation is at risk. Contact: john [at] mentionmapp [dot] com for a Bot investigation and network analytics risk assessment. As Used By –

https://firstdraftnews.com/
http://www.neoncentury.io/
https://www.thebureauinvestigates.com/

Data analytic support and insights are courtesy of our partners at Plot+Scatter.

From John’s pen (cofounder).

Please visit Mentionmapp— See’s who’s talking with who, and who’s talking about what. Discover more. #digitalmarketing #networkanalysis

The un-SocialBot Election: #KenyaDecides

Public_Domain_Photography from Pixibay

“Man’s capacity for justice makes democracy possible, but man’s inclination to injustice makes democracy necessary.” — Reinhold Niebuhr

Every hyper-link can be like tugging on the sticky threads in a web of confirmation bias. Exploring information and elevating what we learn into knowledge is a complex exchange of insight, curiosity and doubt. The Twitter conversations we’re observing are not anchored in an expectation to confirm anything.

Our interest is researching SocialBots acting the amplifiers of computational propaganda. From July 10th to August 10th we tracked the hashtag #KenyaDecides. We’ve looked at the politics of Bots connected with the Italian referendum, US, Dutch, British Columbia, and British elections. What unfolded on Twitter in Kenya resembles nothing like those events.

This observance is more about what we didn’t see. For instance we didn’t see this… the daily deluge of memes.

We only noted this one…

Unlike other national elections where many tweets were churning out likes and re-tweets by the thousands, the metrics of most #KenyaDecides tweets are comparatively inconsequential.

Leading up to Kenya’s election day what we noted as a high volume Tweet pales in comparison to the Northern Hemisphere.

In terms of SocialBot activity less than 20 profiles stood out. They caught our attention largely because of cyborg like tweeting volumes. None were #MAGA fans either. As well, we’re were unable to connect any profiles spreading information/misinformation such as the group of “British Bombshell Bots” as we previously documented. We didn’t see any SocialBots that filled the Dutch, US, French, British election related hashtags.

These two election day related Tweets do represent a spike in volume, but are difficult to construe as contributing to the fake news or hate speech issues.

It’s important to acknowledge the narrow lens (one platform and one hashtag) that we’ve cast on this significant national event. There are cultural, social, and political nuances beyond our scope of understanding as well, such as the relationship between the government and the journalists potentially risking their lives to keep all mechanisms of the state accountable.

https://twitter.com/FranklineSunday/status/897433903186792448

We know misinformation, fake news, and hate speech are flowing through a variety of platforms, as highlighted by this tweet.

Considering that Twitter in Kenya represents a smaller user base (2.2 million est.) versus Facebook (6.1 million est.) or WhatsApp (10 million est.) we have to think about the relationship between the user and audience, these different communications tools, along with the types and purpose of information and misinformation being spread. In the context of Twitter we observed this to be a very un-SocialBot election.


From John’s pen (cofounder).

Please visit Mentionmapp— See’s who’s talking with who, and who’s talking about what. Discover more. #digitalmarketing #networkanalysis

The Bullshitters & The SocialBots (Vol. II): Selling Snake Oil

photo courtesy StillWorksImagery

Snake Oil hasn’t always been connected with fake remedies. But seeing the #AsthmaCures hashtag in this tweet made me think, “What bullshit Snake Oil is being sold here?”

https://twitter.com/healthwomeninfo/status/894234135329251328

At MentionMapp, researching social bots are part of our business, and sometimes that takes us deeper than the usual skim of profile characteristics. Biographic inconsistencies, lack of detail, following/follower ratios, tweet volume and other patterns can suggest bot activity. It’s a complex, not totally scientific process, and it takes a combination of human and machine intelligence to discern the human from the non-human in our online conversations.

Using network analysis to map conversions (using hashtags) and retweet patterns, we have been studying the flow of misinformation. It’s important to identify non-human agents, but it’s invaluable to detect them as they work in concert to manipulate a conversation or influence public perception. Seeing specific tweets being amplified by a collection of social bots is one way we zero in on a Twitter profile to determine how connected it is to the ecosystem of fake.

There are real people and organizations who behave questionably, by using fake profiles to manipulate and inflate their social engagement metrics. But what’s more disconcerting is seeing fake profiles (SocialBots) being put to work to drive clicks and real people to fake news sites, fake businesses, or fake people. This is why we’ve been researching the Twitter profile Women’s Health for the past few months. They’re chronic abusers of SocialBots to amplify questionable content, like the tweets we’ve highlighted below:

Their website went from our suspected ad fraud list to having “stepped out for a bit.” Seeing this use of such a misleading hashtag — #AsthmaCures — , @healthwomeninfo has earned it’s place as our Bullshitter of the Week.

redirect via: health-womens.com

Women’s Health has used the hashtag #AsthmaCures almost 20 times in the first two weeks of August.

https://twitter.com/healthwomeninfo/status/894529828887691264https://twitter.com/healthwomeninfo/status/894881398141538304https://twitter.com/healthwomeninfo/status/894892207068643328

The volume of tweets connected to this hashtag and the number of non-humans pushing out the message is concerning. For instance, we can verify a snapshot of 100 retweets generated by 100 individual fake profiles (red icons on the network maps below are verified SocialBots). It’s our suspicion that this isn’t freely occurring behavior.

The Mayo Clinic clearly states that Asthma can’t be cured. This makes Women’s Health a reckless Twitter feed. By using and abusing this specific hashtag in combination with a small army of SocialBots manipulating the social metrics, they represent the dark side of social.

One of our main focuses is highlighting bad bot behaviors. Using bots like Women’s Health undermines human engagement everyday. Yet, there’s another questionable layer of behavior connected with this specific example. While we don’t have the answer, we’re curious about the connection between the tweets and the subsequent link to 19 links to this YouTube video:

Somewhere, clicks are turning into cash for someone.

As SocialBot creators and network operators are always working to stay ahead of those who are working to detect, expose, and ultimately dispose of them, we’re guarded about sharing our process publicly. We combine human intelligence (along with persistence and humility knowing we’re not always right), machine intelligence and network analysis that gives us the confidence to keep investigating and reporting what we uncover.


Mentionmapp Investigates: See if your social reputation is at risk. Contact: john [at] mentionmapp [dot] com for a Bot investigation and network analytics risk assessment. As Used By –

https://www.thebureauinvestigates.com/
https://firstdraftnews.com/ and http://www.neoncentury.io/

Data analytic support and insights are courtesy of our partners at Plot+Scatter.

From John’s pen (cofounder).

Please visit Mentionmapp— See’s who’s talking with who, and who’s talking about what. Discover more. #digitalmarketing #networkanalysis

The BullS**tters & The SocialBots. (Vol. I) Pushing Fake News

picture from Pixibay

The Times newspaper predicted, “In 50 years, every street in London will be buried under nine feet of manure.” Imagine how the Alt-This or the Mainstream-That would scream “fake” if this 1894 story was playing out today. Yesterdays ‘Great Horse Manure Crisis of 1894’ feels like it’s been time warped into the “Great Bullshit Crisis of 2017.”

Our great grandparents could gingerly walk around the droppings of 1894 fake news. Today, we’re neck deep in it, with no relief in site. There’s both an issue about the veracity of information itself, and a need to examine relationships between the humans and non-humans spreading it. Facts are an endangered species.

We focus our research on the people, the profiles, and the Anti-SocialBots (fake profiles masquerading as the real deal) spreading the bullshit. It’s also an issue beyond the amplification of fake news.

Seeing the spread of click-bait links connected with digital ad fraud driven “business” or “information” sites is a significant problem.

Seeing “influencers” making claims of genuineness and then using Anti-SocialBots to inflate and manipulate their social metrics is blatantly misleading.

https://www.eventbrite.com/e/the-chatbot-conference-tickets-34868758395?aff=CBL

Welcome to our first installment of “The Bullshitters and The SocialBots.” Each week we’re highlighting a Twitter profile that’s behaving badly. At issue is their use of Anti-SocialBots and how they’re contributing to the erosion of real human engagement.

With no masthead, and no real people claiming bylines to their “news” everything about @CitizenSlant smacks of fake. Though the ads on the site do look real enough.

On August 2nd (7:45pm PST) we took a snapshot of their previous 200 hundred tweets, and rendered these 3 network visualization (25 profiles in each) to map the non-human to human ratio of re-tweets.

If they’re red, they’re Bots. A few non-red profiles slipped under our current detection threshold, but we can confirm they are Bots too.

It’s evident that Anti-SocialBots are amplifying the bulk of CitizenSlant’s content.

An analysis of this Tweet determined 80 Bots are responsible for the 80 re-tweets generated, and for 23 of 25 likes.

Apparently this Bot operator has a thing for October 2013, because we noted that 59 of the 80 “re-tweeters” and 14 of the 23 “likers” all joined Twitter on that date. We’re confident that every Tweet coming from @CitizenSlant will exhibit similar patterns.

There’s not enough steam shovels in existence capable of digging us out from today’s bullshit filled digital universe. We hope that by shining a light on the bad-actors and their equally bad behaviors, it’s one small step in elevating us above stench that Anti-SocialBots are leaving behind.


Mentionmapp Investigates: See if your social reputation is at risk. Contact: john [at] mentionmapp [dot] com for a Bot investigation and network analytics risk assessment. As Used By –

https://www.thebureauinvestigates.com/
https://firstdraftnews.com/ http://www.neoncentury.io/

Data analytic support and insights are courtesy of our partners at Plot+Scatter.

From John’s pen (cofounder).

Please visit Mentionmapp— See’s who’s talking with who, and who’s talking about what. Discover more. #digitalmarketing #networkanalysis