Doxxing is intentionally researching and broadcasting personally identifiable information about an individual with the intent and purpose of having law enforcement called on them for spurious reasons.
The doxxing term is derived from “dropping dox” or “documents,” and it refers to the malicious practice of researching, collecting, and publicly disclosing someone’s personal and private information without their consent. This information can include home addresses, phone numbers, email addresses, social security numbers, or any other data that can compromise an individual’s privacy.
The intent behind doxxing is often to intimidate, harass, shame, or exact revenge on the target by exposing them to potential threats, unwanted contact, or public scrutiny.
The act of doxxing can have serious repercussions, not just infringing on an individual’s privacy but also potentially leading to real-world consequences such as stalking, identity theft, and physical harm. In the digital age, where vast amounts of personal data can be found online, doxxing has become a significant concern.
The ease with which personal information can be gathered and disseminated across various platforms—social media, forums, and websites—amplifies the risks associated with this invasive act, making digital literacy and privacy protection more crucial than ever.
Cruelty is a line for me. It’s a one-strike-you’re out policy. We will not be friends.
Cruelty is a moral stain. Something we need to outgrow from childhood to become a member of society. As a form of sadism, it does basic disrespect to the natural rights of persons and flouts the core ideals of democracy. Cruelty is antisocial behavior, and will not be tolerated.
I will speak up for those being crueled. And speak out against those crueling.
We have so many mental frames related to numbers, that have been handed down culturally for, in some cases, hundreds and even thousands of years. These numerical superstitions come from myths, some from science, some cultural and historic — and many are universal. They remind us that despite our differences across nations and across time, we human beings still have a lot more in common with one another than we have differences.
1 is the loneliest number… but can also be unity, and the origin of all things
2 is duality ☯️
3’s a crowd
4 is a square; representative of justice | Buddhist Four Noble Truths ⬛
5 is alive
6 is the first perfect number
7 notes in the musical scale 🎼
8 is paradise; lucky in Buddhism 🍀
9 lives 😺
10 is the most perfect number 🔟
11 players in soccer & football ⚽
12 is cosmological: zodiac symbols, stations of the Moon, stations of the Sun | 12 inches in a foot 📏
A dichotomy along similar lines is between the artistic loner, and the fundamentalist thinking and conformity of the tribe. This narrative also evokes themes of belonging versus rejection, creativity vs. conformity, strange vs. familiar, insanity vs. sanity, and many others.
Freedom vs. Control
These concepts are two very different conceptions of the Good Life, and I know that for me — I’m solidly in the artist camp. I’m all about generativity, about synthesis, and about making something new.
But is everyone? Not so much. Especially now or, perhaps — as with the coronavirus outbreak — having been here long before and in larger numbers than we knew at the time.
While multiple formal investigations against the Trump family and administration continue to unfold, and Drumpf supporters weirdly deny the probable cause for concern, Putin’s troll army continues to operate out in the open on Twitter, Facebook, Medium, and other social media networks. The sheer scale of this operation started to become clear to me in the months leading up to Election 2016, having both spent a lot of time on social media both professionally and personally for over a decade as well as a hefty amount of time on political investigation during this presidential cycle: bots on Twitter had taken over.
Whatever your thoughts on the #RussiaGate corruption scandal may be, it should concern any citizen that an enormous group of bad actors is working together to infiltrate American social media, with a specific intent to sway politics. Media literacy is one part of the answer, but we’re going to need new tools to help us identify accounts that are only present in bad faith to political discourse: they are not who they claim to be, and their real goals are kept carefully opaque.
Cold War 2.0
We should consider our nation embroiled in a large international game of psychological warfare, or PsyOps as it is referred to in intelligence circles. The goal is to sow disinformation as widely as possible, such that it becomes very difficult to discern what separates truth from propaganda. A secondary goal is to sow dissent among the citizenry, particularly to rile up the extremist factions within America’s two dominant political parties in an attempt to pull the political sphere apart from the center.
We didn’t really need much help in that department as it is, with deep partisan fault lines having been open as gaping wounds on the American political landscape for some decades now — so the dramatically escalated troll army operation has acted as an intense catalyst for further igniting the power kegs being stored up between conservatives and progressives in this country.
Luckily there are some ways to help defray the opposition’s ability to distract and spread disinfo by identifying the signatures given off by suspicious accounts. I’ve developed a few ways to evaluate whether a given account may be a participant in paid propaganda, or at least is likely to be misrepresenting who they say they are, and what their agenda is.
Sometimes it’s fun to get embroiled in a heated “tweetoff,” but I’ve noticed how easy it is to feel “triggered” by something someone says online and how the opposition is effectively “hacking” that tendency to drag well-meaning people into pointless back-and-forths designed not to defend a point of view, but simply to waste an activist’s time, demoralize them, and occupy the focus — a focus that could be better spent elsewhere on Real Politics with real citizens who in some way care about their country and their lives.
Bots on Twitter have “Tells”
1) Hyper-patriotism
– Conspicuously hyper-patriotic bio (and often, name) – Posts predominantly anti-Democrat, anti-liberal/libtard, anti-Clinton, anti-Sanders, anti-antifa etc. memes:
2) Hyper-Christianity
– Conspicuously hyper-Christian in bio and/or name of bots on Twitter:
3) Abnormally high tweet volume
Seems to tweet &/or RT constantly without breaks — supporting evidence of use of a scheduler tool at minimum, and displaying obviously automated responses from some accounts. The above account, for example, started less than 2 years ago, has tweeted 15,000 more times than I have in over 10 years of frequent use (28K). Most normal people don’t schedule their tweets — but marketers and PR people do.
4) Posts only about politics and one other thing (usually a sport)
– Posts exclusively about politics and potentially one other primary “normie” topic, which is often a sport – May proclaim to be staunchly not “politically correct”:
5) Hates Twitter Lists
– Bots on Twitter have a strange aversion to being added to Lists, or making Lists of their own:
6) Overuse of hashtags
– Uses hashtags more than normal, non-marketing people usually do:
7) Pushes a one-dimensional message
– Seems ultimately too one-dimensional and predictable to reflect a real personality, and/or too vaguely similar to the formula:
8) Redundant tweets
– Most obviously of all, it retweets the same thing over and over again:
9) Rehashes a familiar set of memes
– Tweets predominantly about a predictable set of memes:
Mismatched location and time zone is another “tell” — and although you can’t get the second piece of data from the public profile, it is available from the Twitter API. If you know Python and/or feel adventurous, I’m sharing an earlier version of the above tool on Github (and need to get around to pushing the latest version…) — and if you know of any other “tells” please share by commenting or tweeting at me. Next bits I want to work on include:
Examining follower & followed networks against a matchlist of usual suspect accounts
Looking at percentage of Cyrillic characters in use
Graphing tweet volume over time to identify “bot” and “cyborg” periods
Looking at “burst velocity” of opposition tweets as bot networks are engaged to boost messages
Digging deeper into the overlap between the far-right and far-left as similar memes are implanted and travel through both “sides” of the networks
