DATA – Page 581 – The Living Library

Slacktivism

Curated on May 18, 2013December 7, 2022 by Stefaan Verhulst

A pejorative term that belittles easily performed activities that do not express a full–blown political commitment.

Research featured in the New Scientist focuses on the impact of so-called “slacktivism”, or “low-cost, low-risk online activism,” on subsequent civic action. A detailed analysis of slacktivism was developed by Henrik Serup Christensen in his 2011 paper in First Monday where he defined the concept and its origin as follows:

“Slacktivism has become somewhat of a buzzword when it comes to demeaning the electronic versions of political participation. The origins of the term slacktivism is debated, but Fred Clark takes credit for using the term in 1995 in a seminar series held together with Dwight Ozard. However, they used it to shorten slacker activism, which refer to bottom up activities by young people to affect society on a small personal scale used. In their usage, the term had a positive connotation.

Today, the term is used in a more negative sense to belittle activities that do not express a full–blown political commitment. The concept generally refer to activities that are easily performed, but they are considered more effective in making the participants feel good about themselves than to achieve the stated political goals. Slacktivism can take other expressions, such as wearing political messages in various forms on your body or vehicle, joining Facebook groups, or taking part in short–term boycotts such as Buy Nothing Day or Earth Hour.”

The research featured in the New Scientist comprises work by Yu-Hao Lee and Gary Hsieh, both from Michigan State University, who analyzed the effects of slacktivism following (using the description of the New Scientist) “the Colorado cinema shootings in 2012, which had prompted wide debate over access to firearms. Hsieh’s team recruited 759 US participants from Amazon’s Mechanical Turk crowdsourcing marketplace and surveyed them for their position on gun control. They asked people if they would sign an e-petition to either ban assault rifles or expand access to guns. Some of the participants then had the opportunity to donate to a group that was pro or against gun control. Another group, including people from both sides of the gun debate, were asked to donate to an education charity.”

“We found that participants who signed the online petition were significantly more likely to donate money to a related charity, demonstrating a consistency effect. We also found that participants who did not sign the petition donated significantly more money to an unrelated charity , demonstrating a moral balancing effect. The results suggest that exposure to an online activism influences individual decision on subsequent civic actions.”

These two psychological effects provide additional insight on whether or not slacktivism is damaging real citizen engagement and potentially replacing meaningful action – as suggested in the below UNICEF video–part of a series titled “Likes Don’t Save Lives”:

Use of Social Network Diagrams

Curated on May 17, 2013November 13, 2018 by Stefaan Verhulst

New York Times: “Consulting companies like Activate Networks create social network diagrams to help pharmaceutical marketers identify prescribing histories and relationships among doctors. Such diagrams can help marketers pinpoint highly connected physicians, the best potential targets for marketing.”

Data Edge

Curated on May 17, 2013December 6, 2018 by Stefaan Verhulst

Steven Weber, professor in the School of Information and Political Science department at UC Berkeley, in Policy by the Numbers: “It’s commonly said that most people overestimate the impact of technology in the short term, and underestimate its impact over the longer term.
Where is Big Data in 2013? Starting to get very real, in our view, and right on the cusp of underestimation in the long term. The short term hype cycle is (thankfully) burning itself out, and the profound changes that data science can and will bring to human life are just now coming into focus. It may be that Data Science is right now about where the Internet itself was in 1993 or so. That’s roughly when it became clear that the World Wide Web was a wind that would blow across just about every sector of the modern economy while transforming foundational things we thought were locked in about human relationships, politics, and social change. It’s becoming a reasonable bet that Data Science is set to do the same—again, and perhaps even more profoundly—over the next decade. Just possibly, more quickly than that….
Can data, no matter how big, change the world for the better? It may be the case that in some fields of human endeavor and behavior, the scientific analysis of big data by itself will create such powerful insights that change will simply have to happen, that businesses will deftly re-organize, that health care will remake itself for efficiency and better outcomes, that people will adopt new behaviors that make them happier, healthier, more prosperous and peaceful. Maybe. But almost everything we know about technology and society across human history argues that it won’t be so straightforward.
…join senior industry and academic leaders at DataEDGE at UC Berkeley on May 30-31 to engage in what will be a lively and important conversation aimed at answering today’s questions about the data science revolution—and formulating tomorrow’s.

Economic effects of open data policy still 'anecdotal'

Curated on May 16, 2013August 3, 2018 by Stefaan Verhulst

Adam Mazmanian in FCW:’ A year after the launch of the government’s digital strategy, there’s no official tally of the economic activity generated by the release of government datasets for use in commercial applications.
“We have anecdotal examples, but nothing official yet,” said federal CIO Steven VanRoekel in an invitation-only meeting with reporters at the FOSE conference on May 15. “It’s an area where we have an opportunity to start to talk about this, because it’s starting to tick up a bit, and the numbers are looking pretty good.” (Related story: APIs help agencies say yes)…
The Obama administration is banking on an explosion in the use of federal datasets for commercial and government applications alike. Last week’s executive order and accompanying directive from the Office of Management and Budget tasks agencies with making open and machine readable data the new default setting for government information.
VanRoekel said that the merits of the open data standard don’t necessarily need to be justified by economic activity….
The executive order also spells out privacy concerns arising from the so-called “mosaic effect,’ by which information from disparate datasets can be overlaid to decipher personally identifiable information.”

Wikipedia Recent Changes Map

Curated on May 15, 2013November 13, 2018 by Stefaan Verhulst

The Verge: “By watching a new visualization, known plainly as the Wikipedia Recent Changes Map, viewers can see the location of every unregistered Wikipedia user who makes a change to the open encyclopedia. It provides a voyeuristic look at the rate that knowledge is contributed to the website, giving you the faintest impression of the Spaniard interested in the television show Jackass or the Brazilian who defaced the page on the Jersey Devil to feature a photograph of the new pope. Though the visualization moves quickly, it’s only displaying about one-fifth of the edits being made: Wikipedia doesn’t reveal location data for registered users, and unregistered users make up just 15 to 20 percent of all contribution, according to studies of the website.”

Social networks as evolutionary game theory

Curated on May 14, 2013August 3, 2018 by Stefaan Verhulst

Izabella Kaminska in the Financial Times: “FT Alphaville has been taking a closer look at the collaborative economy, and noting the stellar growth this mysterious sector has been experiencing of late.
An important question to consider, however, is to what degree is this growth being driven by a genuine rise in reciprocity and altruism in the economy — or to what degree is this just the result of natural opportunism…
Which begs the question why should anyone put a free good out there for the taking anyway? And why is it that in most collaborative models there are very few examples of people abusing the system?
With respects to the free issue, internet pioneer Jaron Lanier believes this is because there isn’t really any such thing as free at all. What appears free is usually a veiled reciprocity or exploitation in disguise….
Lanier controversially believes users should be paid for that contribution. But in doing so we would argue that he forgets that the relationship Facebook has with its users is in fact much more reciprocal than exploitative. Users get a free platform, Facebook gets their data.
What’s more, as the BBC’s tech expert Bill Thompson has commented before, user content doesn’t really have much value on its own. It is only when that data is pooled together on a massive scale which allows the economies of scale to make sense. At least in a way that “the system” feels keen to reward. It is not independent data that has value, it is networked data that the system is demanding. Consequently, there is possibly some form of social benefit associated with contributing data to the platform, which is yet to be recognised….
A rise in collaboration, however, suggests there is more chance of personal survival if everyone collaborates together (and does not cheat the system). There is less incentive to cheat the system. In the current human economy context then, has collaboration ended up being the best pay-off for all ?
And in that context has social media, big data and the rise of networked communities simply encouraged participants in the universal survival game of prisoner’s dilemma to take the option that’s best for all?
We obviously have no idea if that’s the case, but it seems a useful thought experiment for us all to run through.”

OpenData Latinoamérica

Curated on May 14, 2013May 29, 2019 by Stefaan Verhulst

Mariano Blejman and Miguel Paz @ IJNet Blog: “We need a central repository where you can share the data that you have proved to be reliable. Our answer to this need: OpenData Latinoamérica, which we are leading as ICFJ Knight International Journalism Fellows.
Inspired by the open data portal created by ICFJ Knight International Journalism Fellow Justin Arenstein in Africa, OpenData Latinoamérica aims to improve the use of data in this region where data sets too often fail to show up where they should, and when they do, are scattered about the web at governmental repositories and multiple independent repositories where the data is removed too quickly.
…
The portal will be used at two big upcoming events: Bolivia’s first DataBootCamp and the Conferencia de Datos Abiertos (Open Data Conference) in Montevideo, Uruguay. Then, we’ll hold a series of hackathons and scrape-athons in Chile, which is in a period of presidential elections in which citizens increasingly demand greater transparency. Releasing data and developing applications for accountability will be the key.”