πŸ•΅οΈ Emoji Investigator β„’

questionable content, possibly linked πŸ‘£ πŸ” πŸ’‘

Random name generator (link)

The Random Name Generator is a simple fiction writing tool to create character names. The generator contains English first and last names based on the database of the US Census:

  • 1219 male first names
  • 4275 female first names
  • 88799 last names
  • over 480 million random names

Types of Personal Data (List)

Types of Personally Identifying Information (PII)

Source: Compiled from various sources, with my own additions.

Notes: Many of these can be drilled down even more specifically, depending on the domain.

Intended use: GDPR, General Data Protection Regulation

First name
Last name
Maiden name
Other names used
Username
Personal email address
Work email address
Website
Face photographs
Other identifying photographs
Photo location data
Video footage
Password
Security question & answer
Third-party login
Cookies
Date of birth
City of birth
Birth certificate
Age
Weight
Height
Gender
Eye color
Hair color
Work address
Current home address
Length of current residence
Previous addresses
Home phone
Cell phone
Work phone
Marital status
Spouse name
Parents' names
Children's names
Siblings' names
Friends names
Contacts list
Pets & animals
Number of people in household
Occupation
Current employer
Employment history
Performance evaluations
Reference interviews
HR issues & disciplinary actions
IP address
ISP
Device ID / MAC address
Browser 
Operating system
Language preference
Social media accounts
Social media posts & history
Cloud storage files
Current location (physical)
Location history (physical)
Shopping & purchase history (on the site)
Shopping & purchase history (elsewhere online)
Shopping & purchase history (offline)
Daily life activities
Event attendance
Donations to organizations
Media preferences
Likes & ratings
Topics of interest
Activity on the site
Search history on the site
Search history (elsewhere)
Browsing history (elsewhere online)
Phone call records
Text message history
Messages on the site
Chat history (elsewhere online)
Email records
Postal activity
Current income
Income history
Bank account
Credit card number
Debit card number
PIN number
Credit report
Loan records
Other financial statements
Homeowner status
Home value
Investment records
Property records
Life insurance records
Health insurance records
Medical card number
Car insurance records
Passport information
Social security / social insurance number
Driver's license / state ID
Vehicle registration records
Professional license records
Recreational license records
Voter registration records
Political party affiliation
Fingerprints
Handwriting
Signature
Writing sample (electronic)
Schools attended
Education history
Arrest records
Bankruptcies
Liens
Judgements
Criminal offenses & convictions
Pardons
Tax returns
Racial & ethnic origin
Nationality
Political affiliations & opinions
Religion & philosophical beliefs
Trade union membership
Sexual orientation
Sexual partners
Medical records
Family health history
Prescriptions
Physical or mental disability
Veteran status
Genetic information
Biometric identifiers
Retina scan
Voice signature
Facial geometry

Guess Who (Board Game) image

Via Imgur

Guess Who (Board Game) Ad

Youtube, 1997:

Includes disclaimer at the end, “Game cards do not actually talk.”

human_actor [entity]

`human_actor` entity definition.

Debunk sources

I’m interested to check out First Draft’s Verification training for journalists. Seems like an interesting org overall. Wanted to also bookmark their page of recommendations they made for the Council of Europe. Number 4 from the section on what media companies can do:

Debunk sources as well as content. News organisations are getting better at fact- checking and debunking rumours and visual content, but they must also learn to track the sources behind a piece of content in real time. When content is being pushed out by bot networks, or loosely organised groups of people with an agenda, news organisations should be identifying this as quickly as possible. This will require journalists to have computer programming expertise.

Open Source Intel Analyst – New York (Storyful)

I’ve only just begun getting my feet wet with open source investigation techniques and citizen journalism, but this job ad from Storyful sounds like something to grow into:

Open Source Intel Analyst – New York

Since 2010, Storyful’s newsroom has been working at the intersection of social media, news and technology to help media partners tell the stories that matter most. Our heritage lies in the discovery, verification, acquisition and contextualization of eyewitness video – but now we do so much more.

We are seeking a skilled researcher whose instincts are equal parts investigative journalist, intelligence analyst and social media junkie. This person should be comfortable studying and moving within online communities – some with fairly unsavory or extreme ideologies – for the purpose of detecting patterns, discerning plans and identifying the players operating outside the trending topics of the day.

I’m not really looking for a job, so much as a model for how the future will likely work, with regards to media, truth and transmission of information…

Tower clusters

Fast Company, September 2017.

These clumps of cell towers, with their own mini cloud services, can handle time-critical operations like coordinating autonomous cars, independently, without having to touch the larger internet.

Society of Professional Journalists Code of Ethics

Direct link to SPJ code.

From Preamble:

Ethical journalism strives to ensure the free exchange of information that is accurate, fair and thorough.

And later:

– Identify sources clearly. The public is entitled to as much information as possible to judge the reliability and motivations of sources.

– Consider sources’ motives before promising anonymity. Reserve anonymity for sources who may face danger, retribution or other harm, and have information that cannot be obtained elsewhere. Explain why anonymity was granted.

– Diligently seek subjects of news coverage to allow them to respond to criticism or allegations of wrongdoing.

– Avoid undercover or other surreptitious methods of gathering information unless traditional, open methods will not yield information vital to the public.

TimeWarner Journalistic Integrity

Direct link to statement.

Partial excerpt:

Editorial Policy

At CNN, integrity and accuracy are of the utmost importance to the brand, and systems are in place to maintain them. For example, stories are thoroughly reviewed by producers and particularly sensitive stories are reviewed further by a team of senior editors, standards and practices specialists, and lawyers before they are broadcast.

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