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Psychological Profiling Via Twitter | Dan Zarrella
method is called the Regressive Imagery Dictionary (RID). This coding scheme is designed to measure the amount and type of three categories of content: primordial (the unconscious way you think, like in dreams), conceptual (logical and rational though) and emotional.
Significantly more primordial content has been found in the poetry of poets who exhibit signs of psychopathology than in that of poets who exhibit no such signs (Martindale, 1975). There is also more primordial content in the fantasy stories of creative as opposed to uncreative subjects (Martindale & Dailey, 1996), in psychoanalytic sessions marked by therapeutic “work” as opposed to those marked by resistance and defensiveness (Reynes, Martindale & Dahl, 1984), and in sentences containing verbal tics as opposed to asymptomatic sentences (Martindale, 1977). A cross-cultural study of folktales from forty-five preliterate societies revealed, as predicted from the “primitive mentality” hypothesis of Lévy-Bruhl (1910) and Werner (1948), that amount of primary process content in folktales is negatively related to the degree of sociocultural complexity of the societies that produced them (Martindale, 1976). Martindale and Fischer (1977) found that psilocybin (a drug that has about the same effect as LSD) increases the amount of primordial content in written stories. Marijuana has a similar effect (West et al., 1983). Research has also revealed more primordial content in verbal productions of younger children as compared with older children (West, Martindale, & Sutton-Smith, 1985) and of schizophrenic subjects as compared with control subjects (West & Martindale, 1988).
The other method is Linguistic Inquiry and Word Count (LIWC). In development for over 15 years, the LIWC measures the cognitive and emotional properties of a person based on the words they use.
In order to provide an efficient and effective method for studying the various emotional, cognitive, and structural components present in individuals’ verbal and written speech samples, we
What the Little Bird Told Me About You: Three Twitter Apps for Psych Analysis
omorrow morning, social media and marketing researcher Dan Zarrella is debuting a new way to see into the minds of Twitter users by analyzing their most recent 1,000 tweets.
TweetPsych uses two linguistic analysis methods to build a psychological profile of a person based on the content of their tweets. It compares the content of a user's tweets to a baseline reading Zarella built by analyzing over 1.5 million random tweets and shows the areas where that user stands out. It also reminded us of two other fascinating apps that show how long a user has been on Twitter and with whom they hold most of their @reply conversations. Being socially minded journalists, we've made bookmarklets for all three services.
Zarrella wrote in an email tonight that he used RID (Regressive Imagery Dictionary) and LIWC (Linguistic Inquiry and Word Count) to parse the data. RID is a text analysis tool composed of more than 3,000 words from 43 categories of cognition and emotion. LIWC is a text analysis software program that calculates the degree to which people use different categories of words in emails, speeches, poems, or transcribed daily speech. The program considers positive and negative emotion words, self-references, and words that refer to sex, eating, or religion.
Profiles with updates that are protected cannot be analyzed by TweetPsych.
Let's take a look inside the mind of a few Twitter users. Most of the social media elite tend to have fairly impersonal tweets; hence, their TweetPsych profiles are relatively homogeneous catalogs of upward mobility, obsession with professional affairs, and moral imperativism. Here's a profile of a photographer/mother/homemaker/blogger in Georgia:
Twitter Data - A simple, open proposal for embedding data in Twitter messages - Home
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Authors
* Todd Fast, @toddfast, todd@toddfast.com,
* Jiri Kopsa, @jirikopsa, jiri.kopsa@gmail.com
Reviewers
* Mike Gionfriddo, @mgion
* Ted Leung, @twleung
* Hao Thai
* Chun Xia, @chunxia
Vote
This widget shows total votes cast on Twitter for the Twitter Data proposal in real time. It is an example of using Twitter Data.
To vote, use the widget below to send a Twitter message with your vote embedded as Twitter Data. The widget will extract all votes from Twitter and show them in the graph.
Or you can do it manually by updating your Twitter status with a message that includes the subject #twitterdata and a $vote tuple with a value of a positive or negative number (i.e. +1 or -1). For example: I love the #twitterdata proposal! $vote +1
We created this widget with zembly.
Originally published May 12, 2009.
This is version 0.3, published May 19, 2009.
Introduction
In 140 chars: Twitter Data lets people embed bits of data in their tweets so that computers can read the data and do cool stuff #twitterdata
Twitter Data is a simple, open, semi-structured format for embedding machine-readable, yet human-friendly, data in Twitter messages. This data can then be transmitted, received, and interpreted in real time by powerful new kinds of applications built on the Twitter platform. Here is an example Twitter Data message:
I love the #twitterdata proposal! $vote +1
The part with the dollar sign, $vote +1, is a piece of data embedded using the Twitter Data format.
When an application knows how to read this data, it can then display it to users or send it to other applications to make Twitter an even more interesting and useful platform. You can see an example of this in the voting widget over there in the right-hand col
Twitter.edu: 100 Excellent, Educational Twitter Feeds - Learn-gasm
# @therefore: Read @therefore’s tweets to learn about emergent communications and new media.
# @mweller: @martinweller is an Open University professor.
# @drkent: Check out @drkent to learn about classical composition.
# @ProfCarol: Carol Dickson-Carr is a part time economics professor.
# @levarburton: LeVar Burton of Reading Rainbow is an actor, director, and educator.
# @lessig: @lessig offers a look into the posts of a Canadian law professor.
# @hermida: You can learn about integrated journalism and new narrative styles from Alfred Hermida.
# @vargasl: Learn about marketing communications from Lauren Vargas.
# @coolcatteacher: Vicki Davis is a classroom pioneer.
# @jonbecker: Jonathan Becker discusses technology and educational leadership.
# @hmason: Hilary Mason can teach you about computer science and new media.
# @BarbaraNixon: From @BarbaraNixon, you’ll learn about public relations.
# @tp_da: Thomas Pliel is a public relations educator at Darmstadt University of Applied Sciences.
# @paulawhite: Paula White tweets about gifted resources, Apple, STAR, and more.
# @Justale: Alessandra Tussi twitters about teleworking, marketing, and productivity.
# @metromediaqueen: Tricia Thomas
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@GrammarGirl: Mignon Fogarty wrote a NYT bestseller about grammar.
“17 Things we Used to Do” : Andrew McAfee’s Blog
# Concise. The 140 character limit constrains “how boring you can be,” in the words of one student.
# Hyperlinked. Tweets can include links to pages and pictures.
# Persistent. Tweets are not evanescent; they stick around over time and are easy to locate and point to.
# Searchable. Persistent tweets mean that Twitter as a whole is searchable
# Asynchronous. Users can dive into the Tweetstream whenever they wish, and can catch up on what they missed. This makes it feel different than a Web-based chat room, where you need to be present during a conversation to participate in it and benefit from it.
# Asymmetric. As Laura emphasized, Twitter’s publish-and-subscribe architecture is fundamentally different than Facebook’s friending mechanism. My Facebook friends by default send information to me about what they’re up to. My Twitter followers do not – only the people I’m following pipe information to me. I perceive myself to be part of a single network of friends on Facebook, but I’m part of two very different networks on Twitter: the people I follow (I select these people because I want to get information from them), and those who follow me (these people select me because they want to get information from me).
# Largely public, but with a private option. Users can send private tweets (called ‘direct messages,’ or DMs) to each other, but all others are part of the public record; they persist in a user’s profile and can be found via search.
# Categorizable. Twe
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- hat
- Discussion boards
- Identifying trending topics
- Broadcasting breaking news
- Marketing and brand building
- Mining consumer sentiment
- Providing status updates to friends and family
- Communicating location, activity, mood, and other personal information
- Engaging in customer service
- Finding information on topics of interest
- Finding people who share an interest
Give Your Cat Twitter Powers
Give your cat a Twitter account and have her post updates automatically whenever she sits down on her bed or when she leaves her bed. In addition, capture pictures of your cat when she's on her bed and upload those as well so you can keep tabs on her antics while you're away from home.
In this instructable, I'll walk you through the process of
* building a cat sensor out of a simple momentary switch, foam core and foam strips
* reading the cat sensor on your Mac or PC using Arduino and Processing
* automatically posting status updates to Twitter when your cat takes a nap or wakes back up
* taking pictures of your cat on the bed with a webcam and uploading the pictures to a webserver
Laconica
Laconica - The Open Microblogging Tool ¶
Download now
Laconica 0.7.3
2.3Mb
all platforms
Laconica (pronounced "luh-KAWN-ih-kuh") is a Free and Open Source microblogging platform. It helps people in a community, company or group to exchange short (140 character) messages over the Web. Users can choose which people to "follow" and receive only their friends' or colleagues' status messages. It provides a similar service to sites like Twitter, Jaiku, and Plurk.
Want to try Laconica without installing anything? Hop on over to identi.ca, the largest microblogging service based on Laconica.
News ¶
Relationship Symmetry in Social Networks: Why Facebook will go Fully Asymmetric - Bokardo
Recent events have made it clear that Facebook sees Twitter as a serious threat to its business. First, Facebook tried to buy Twitter for $500,000,000 in stock. Twitter declined. Facebook then began describing their service in increasingly-twitter like ways, such as during the Inauguration when they showed a “live stream” of chatter alongside CNN news. And on March 11 Facebook redesigned their homepage (the logged-in homepage) to a layout remarkably similar to Twitter. As Twitter’s growth continues to accelerate, it is obvious that Facebook is trying to block Twitter from catching up.
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In general, there are two ways to model human relationships in software. An “asymmetric” model is how Twitter currently works. You can “follow” someone else without them following you back. It’s a one-way relationship that may or may not be mutual.
Twitter: Building Businesses Tweet by Tweet - BusinessWeek
An estimated 5 million people use Twitter, according to Cambridge-based Forrester Research. Twitter co-founder Biz Stone says businesses "that are not quite big enough to make an impact on the Web, or to spend resources there," have been some of the earliest users of the site. He says some San Francisco-based coffee shops and bakeries have sent tweets to tell their customers about specials or products they may be out of that day. One Los Angeles taco truck uses Twitter to tell customers where it will be that day. "Businesses use this as a hybrid between marketing and customer service," says Stone. "They use the Twitter Search to track mentions of their products and services and as a way to begin a conversation."
Twitter: Building Businesses Tweet by Tweet - BusinessWeek
Other business owners, like Michael Coffey, chief executive of BlueCotton in Bowling Green, Ky., are using Twitter to enhance customer service. The 25-employee, $4 million company lets customers design their own shirts online. For the past two months, two of Coffey's factory workers have used iPhones to snap pictures of completed shirts, and then to send photo tweets to customers right before shipping. "Customers have some anxiety when they purchase shirts online," Coffey says. The tweets help alleviate those concerns—and have won new customers who spot the designs on Twitter. "Having people follow BlueCotton is a feather in our cap," Coffey says. "It helps create real fans of the company."
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