Facebook and the Value of Free Data
Posted: December 7, 2012 Filed under: Communications, Sociology, Technology | Tags: cloud computing, communications, data privacy, Facebook Leave a commentThe information technology market is undergoing a major shift towards cloud computing. While cloud computing only represents 2.8% of the $3.6 trillion information technology market today, analysts expect it to more than double over the next two years (Cantu, 2011). Moreover, the economics of the cloud are so compelling this author thinks that all compute services will be delivered via the cloud in the decades to come. Given the clear shift to the cloud, it is worthwhile to explore what cloud computing is, how it works, and potential implications of the cloud for Internet consumers and producers of content. However, an overarching analysis of the cloud is overly ambitious given the size and scope of the market, therefore, this author will analyze the cloud using the narrow confines of a case study on Facebook, the largest social Internet application in the world. Therefore, this author compared Facebook to the cloud market in general, and specifically explored the implications of content usage, labor, and privacy in a cloud application, like Facebook. This author found that Facebook has remarkably similar issues with cloud vendors, and profits from user-generated data while providing only limited privacy protections, in exchange for the use value of the application.
What is Cloud Computing?
Cloud computing is the result of advances in information technology over the last forty years, and specifically is the result of the Internet architecture. Whereas, in the era before the network, computing power was largely in the hands of government and large corporations, the coincident revolutions of personal computers and private networks, led to a client server architecture, where application processing occurred on a client computer, and data was stored on a network server. With the development of the Internet, a global computing network, came the possibility of a new architecture, where every layer of the architecture is centralized, including the application logic, and the network end-points are simply dumb terminals in essence. While this description is necessarily an oversimplification, it is generally correct.
As the Internet architecture has matured, increasingly corporations are seeking ways to improve efficiency and reduce the costs of doing business over the network. Indeed, cost and efficiency gains have led to the advancements necessary to make cloud computing possible. Important advancements in the shift to cloud computing include autonomic computing, service-oriented architecture, web services, virtualization, and grid computing (Cantu, 2011). These technologies allow technology professionals to deliver each compute layer as a service, including storage, database, middleware, and applications. Moreover, as the cloud market has matured, so has the definition. The National Institute of Standards and Technology (2011) recently released the final draft of the cloud computing definition, conceived of as:
A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. (p. 1)
In the strictest sense, an application like Facebook cannot be conceived of as cloud computing, because the application is not provisioned for different entities, rather it is simply an application that is available for end users. While admittedly, the distinction is minor, it remains important. However, Facebook is similar enough to a cloud application to warrant further analysis. Specifically, the application logic, the infrastructure, user credentials, user information, user-generated content, and user relationship data are centralized behind Facebook’s corporate firewall. This architecture gives rise to a number of important questions for both cloud applications and Internet applications. For instance, what are the implications for user generated content? Whose data is it? Who profits from the data? Who is both responsible and liable for data protection and privacy? It is these questions that this author will attempt to address in the rest of the paper.
Whose Data Is It?
When a user registers for a Facebook account, the user is required to load their name, email address, birthday, and gender (Facebook, 2012a). No other information is required. However, the application is of limited value without providing additional data. Typically, users will add personally identifiable information, relationship data, preference data, status updates, location data, photos, and videos to make the application valuable. Legally, each user is the owner of their data in the application, however the matter is complicated by the social nature of the application (Facebook, 2012b). For example, if one user posts a photo of another user, the data is owned by the user that posted the photo, an important implication for those concerned about privacy (Facebook, 2012a). Moreover, through the terms of agreement between Facebook and a user, users assign Facebook a “non-exclusive, transferable, sub-licensable, royalty-free, worldwide license to use any IP content [posted] on or in connection with Facebook” (Facebook, 2012b, p. 1). Therefore, while users own the data, Facebook has the right to profit from it.
Of course, the problem with storing user data in Facebook is that like most cloud applications, the application is analogous to a roach motel, it is easy to check data in, but much tougher to check it out. While Facebook provides a number of application programming interfaces to retrieve data (Facebook, 2012c), it requires technical expertise to access the data through anything but the native Facebook application interface. Therefore, outside the confines of Facebook, the data is of limited use. Moreover, the limitations of the application interface make it difficult for non-technical users to substantially transform the data to produce new works. In effect, the structure serves to constrain people from profiting from their data.
Who Profits from User Data on Facebook?
As made clear in the previous section, while users own their data, Facebook has both the right and the architecture to assure that they are in a position to profit from user data. In fact, the data only has value when considered in the aggregate. For example, few would care to pay this author for knowing of a recent ski vacation. However, a skiing manufacturer might pay a considerable sum to target active adult skiers across the country with targeted advertising for a new line of high performance skis. Thus, Facebook profits from the free labor of 800 million users. Indeed, with Facebook’s recent initial public offering, their finances came under intense scrutiny from the investment community. In 2011, Facebook generated more than $3.7 billion in revenue, 82% of which came from advertising (Boorstin, 2012). With more than 500 million monthly active users, and 125 billion friend connections, Facebook provides advertisers a platform with reach, relevance, and most importantly, a social context for product recommendations (Boorstin, 2012). For example, if this author creates a post highlighting the purchase of a set of high-performance skis, the ski manufacturer might send targeted advertising to other skiers in the author’s network.
Croteau, Hoynes, and Milan (2012) point out that firms like Facebook “harvest and harness the free labor of others to generate profits for themselves” (p. 314). However, that perspective includes only one side of the transaction. Facebook simply enables a transaction to occur, where users providing content receive a use value, while Facebook creates exchange value from the commodification of users. In this sense, Facebook is simply following the business model of traditional mass media who provided television content for consumers, in exchange for commodification of consumers into an audience to bring in advertising revenue; new media indeed. Therefore, in the case of Facebook, is there really exploitation of free labor? Or are Facebook users receiving value from the use of the application? This author thinks it is the latter. In what other way can people stay connected and share their lives with friends and family as efficiently as on Facebook? Therein lies Facebook’s use value for users. While the exchange relationship between Facebook users, the company, and advertisers captures the essence of the business model, the business model itself raises significant concerns over the security and privacy of the data that fuels Facebook’s revenue.
Debates over data security and privacy have raged over the last two decades as society has attempted to come to terms with the implications of the growing amount of data. Facebook in particular, has come under intense public scrutiny for a series of data privacy policy changes over the last six years that erode data privacy for users (Electronic Privacy Information Center, 2012). Moreover, Facebook recently stands accused of matching Facebook data with data from Datalogix to improve ad targeting, in potential violation of a recent privacy settlement with the FTC (Electronic Privacy Information Center, 2012). In fact, Facebook no longer has a privacy policy, rather they express their point of view in a data use policy (Facebook, 2012a). While Facebook has taken steps to improve data security by adopting HTTPS as an optional user setting, the company increasingly is altering their data use policy to introduce new capabilities that grow revenue at the expense of user privacy (Electronic Privacy Information Center, 2012). In short, until users decide that costs, in the form of privacy loss, outweigh the use value, it is unlikely Facebook will change their data use policy in a way that favors improved privacy protection.
Conclusion
Technology companies like Facebook have an amazing business model. The company has figured out how to generate immense revenues from the data that people provide about themselves, their friends, and their family, in exchange for a more efficient way to keep in touch. By locking the user data into the Facebook application, Facebook assures that the data is only useful to Facebook. Moreover, given the legal terms associated with use of the application, users readily grant Facebook the license to profit from the invasion of their privacy. Future research should explore whether the development of open standards for social relationship data portability could spur the company to provide greater privacy protection based on the threat of customer churn, in much the same way that cell phone number portability enabled greater choice and competition in the wireless industry.
References
Boorstin, J. (2012). Inside Facebook’s money machine. Techbiz. Retrieved from http://money.msn.com/technology-investment/post.aspx?post=869a1b6c-0bb7-47b3-ac0a-25d10f6a5404
Cantu, A. (2011). The History and Future of Cloud Computing. Retrieved from http://www.forbes.com/sites/dell/2011/12/20/the-history-and-future-of-cloud-computing/2/
Croteau, D., Hoynes, W., & Milan, S. (2012). Media/society : Industries, images, and audiences (4th ed.). Thousand Oaks, CA: SAGE.
Electronic Privacy Information Center. (2012). Facebook Privacy. Retreived from http://epic.org/privacy/facebook/
Facebook. (2012a). Data Use Policy. Retrieved from http://www.facebook.com/about/privacy/your-info
Facebook. (2012b). Facebook Terms. Retrieved from http://www.facebook.com/legal/terms
Facebook. (2012c). Graph API – Facebook Developers. Retrieved from http://developers.facebook.com/docs/reference/api/
National Institute of Standards and Technology. (2011). Final Version of NIST Cloud Computing Definition Published. Retrieved from http://www.nist.gov/itl/csd/cloud-102511.cfm
Leveraging Tragedy: Bias in the Media
Posted: August 6, 2012 Filed under: Communications | Tags: abc news, bias, brian ross, broadcast journalism, cnn, communications, content analysis, death of objectivity, fox news, mass communication, media bias, objectivity, washington post 2 CommentsOn July 20th of 2012, Jim Holmes walked into the midnight premiere of the movie The Dark Knight Rises and killed 12 people, and wounding another 59 before being apprehended by local police (KUSA-TV, 2012). As the event unfolded, media organizations across the nation and the globe mobilized and began extensive coverage of the shooting that continues to this day. While much of the initial coverage focused on the factuality of the event, there were errors that some in the media considered evidence of bias. Most notably, was the suggestion by Brian Ross of ABC News, that the shooter might have links to the Tea Party, a mistake that some suggest is evidence of liberal bias in the media (Goldberg, 2012; Irvine, 2012; Scott, 2012). Furthermore, Scott (2012), a Fox News commentator, suggested liberal bias extended beyond ABCs factual blunder towards politicization of gun use, noting the “media coverage of the movie theater massacre in Colorado spark[ed] another one-sided debate on gun control” (p. 2). After completing a critical evaluation of the media event that included a traditional content analysis, this author found that the charges of bias are likely justified, although not one-sided; rather, bias appears to be a de facto presence in news media, despite the western journalistic norm of objectivity.
Approach
In order to understand whether Scott’s (2012) charge of media bias did or did not have merit, this author critically evaluated the news coverage of the shooting against McQuail’s (2010) standard of objectivity. In addition, a basic content analysis was conducted to determine the extent to which the subject of gun control was associated with the shooting story, analyzing the total number of articles on the theater shooting on mainstream print and broadcast media organization’s websites, comparing that with how many articles associated the theater shooting with either gun control. Moreover, the number of articles that associated gun control with the shooting were compared with Kohut and Remez’s (2009) report identifying public perception of news network ideology to determine whether the perceived ideology was associated with the amount of coverage. Finally, this author commented on the potential sources of bias in the coverage.
Evaluation of Objectivity: The Brian Ross Incident
During a Good Morning America segment on the theater shooting with George Stephanopolis, Brian Ross described significant information related to the shooting, indicating, “There is a Jim Holmes of Aurora, Colorado, page on the Colorado tea party site as well. Talking about him joining the tea party last year. Now, we don’t know if this the same Jim Holmes, but this is Jim Holmes, Aurora, Colorado” (Byers, 2012, p. 1). Of course, it turned out later that a completely different Jim Holmes was responsible for the shooting. To what degree did Brian Ross’s statement meet the standard of objectivity? According to McQuail (2010), information quality reflects the broadly shared public interest in reliable information from trusted source “that matches the reality of experience” (p. 200). Westerstahl (1983) described the main components of objectivity as factuality and impartiality. While the information was clearly not factual, it may or may not have been impartial. It appears that Ross may have jumped directly to an existing liberal narrative of the Tea Party as right-wing extremists without checking sources to verify the factuality of the claim, certainly an error in professional judgment. Potential sources of bias include either Ross’s socialization and attitudes, or an organizational routine that took shortcuts in order to capture audience share. In either case, the information presented was neither factual, nor impartial, and therefore does not meet the standard for objectivity.
The Theater Shooting and the Guns Debate
While there appears to be some validity to Scott’s (2012) charge of bias against Ross, Scott also suggested a broader bias by the media to use the theater shooting to have a “one-sided” debate regarding gun control, conceivably to influence the public to take action to limit guns in some way. In order to critically examine the charge of bias, this author conducted a traditional content analysis based on Berelson’s (1952) definition using the following parameters:
Table 1
Content Analysis Parameters
Subject |
Parameter |
Universe or sample |
Mainstream U.S. print and broadcast media websites |
Category frame |
Original articles in the last 30 days |
Unit of analysis |
Articles referring to “theater shooting” and articles referring to “theater shooting” AND “gun control” |
Table 1. Parameters for traditional content analysis of media bias in theater shooting coverage.
The websites analyzed included the CBS News, ABC News, NBC News, CNN, Fox News, The New York Times, The Wall Street Journal, Investors Business Daily, and the Washington Post. Each source was categorized based on their public perception, where the public perception of the broadcast media was based on Kohut and Remez (2009). The print media did not have a third party referent for public perception of bias, therefore this author categorized the print media based on internal views of liberal or conservative bias. The results are outlined below:
Table 2
Data from content analysis
Source |
Medium |
Perceived Bias |
# Articles on “theater shooting” |
# Articles on “theater shooting” AND “gun control” |
% of coverage with political interpretation |
ABC |
Broadcast |
Liberal |
335 |
214 |
63.88% |
CBS |
Broadcast |
Liberal |
87 |
25 |
28.74% |
CNN |
Broadcast |
Liberal |
687 |
88 |
12.81% |
Fox |
Broadcast |
Conservative |
50 |
5 |
10.00% |
IBD |
|
Conservative |
14 |
3 |
21.43% |
MSNBC |
Broadcast |
Liberal |
1040 |
15 |
1.44% |
NY Times |
|
Liberal |
78 |
7 |
8.97% |
Washington Post |
|
Liberal |
386 |
69 |
17.88% |
WSJ |
|
Conservative |
50 |
45 |
90.00% |
Table 2. Data collected during content analysis of theater shooting coverage.
The information in Table 2 was analyzed to determine the degree to which the story was covered by mainstream media along liberal and conservative lines and the degree to which the story was interpreted by the media in a broader political context. The analysis was limited insofar as did not include a qualitative interpretation as to the direction of the bias. The results are outlined below:
Table 3
Results of content analysis
Subject |
Perceived Bias |
Total # of Articles |
Median # articles |
% of coverage with political interpretation |
Bias towards selection | Liberal |
2613 |
435.5 |
|
Conservative |
114 |
38.0 |
|
|
Tendency towards politicization | Liberal |
418 |
69.7 |
16.0% |
Conservative |
53 |
17.7 |
46.5% |
Table 3. Analysis of selection bias and tendency towards politicization of theater shooting coverage along conservative and liberal lines.
Discussion
It is clear that media organizations perceived as liberal by the public provided far more coverage of the story than did their conservative counterparts. Equally clear, is that media organizations perceived as conservative were far likelier to provide a political interpretation of the story for their audience, in the broader context of the gun control narrative. While the shooting was a key event, the public significance of the shooting triggered mediahype, where extensive coverage of the event and subsequent manufactured events created a media frenzy that media organizations were likely able to monetize. Indeed, The Pew Research Center For The People & The Press (2012) found that the shooting overwhelmingly held audience interest over other stories, lending credence to the idea that the coverage of the tragedy was a commercial boon to most media organizations, perhaps a cause for the extensive coverage.
Given the economic potential of coverage, why then did the conservative press cover the story far less than the liberal press? Perhaps the story did not fit into existing conservative narratives on gun rights? Given the lack of a qualitative analysis, it is impossible to tell. Equally so, the story may have served the liberal media both commercially, and in terms of their political narrative on the importance of gun control, both powerful influences to select and politicize the story. Accordingly, both liberal and conservative organizations appear to be biased in their selection and presentation of the story.
Conclusion
Charges of media bias are commonplace and may very well be accurate in some cases, given that bias is likely structural, given the wide variety of forces influencing media. Scott’s (2012) charge of bias on the part of the liberal media is supported by this author’s analysis, although it was not one-sided as was suggested. Rather, bias appeared to be a persistent presence in both liberal and conservative media organizations, or a fact of life in professional news organizations, despite their professed norms of objectivity.
References
Berelson, B. (1952). Content analysis in communication research. Glencoe, Ill.,: Free Press.
Byers, D. (2012, July 20, 2012). ABC draws possible Tea Party connection with alleged Aurora shooter Retrieved August 5, 2012, from http://www.politico.com/blogs/media/2012/07/aurora-abc-draws-possible-tea-party-connection-129568.html
Goldberg, J. (2012, July 24, 2012). Goldberg: TV reporter’s mistake is proof of media bias Retrieved August 5, 2012, from http://www.chron.com/opinion/outlook/article/Goldberg-TV-reporter-s-mistake-is-proof-of-media-3731943.php
Irvine, D. (2012). ABC Ties Colorado Shooter to Tea Party—Apologizes Later. Retrieved from http://www.aim.org/don-irvine-blog/abc-ties-colorado-shooter-to-tea-party-apologizes-later/
Kohut, A., & Remez, M. (2009). Fox News Viewed as Most Ideological Network. Washington DC: The Pew Research Center For The People & The Press.
KUSA-TV. (2012, July 22, 2012). Suspect named James Holmes in custody, 12 dead in Aurora movie theater shooting, 58 wounded Retrieved August 5, 2012, from http://www.9news.com/rss/story.aspx?storyid=278707
McQuail, D. (2010). Mcquail’s mass communication theory (6th ed.). London ; Thousand Oaks, Calif.
Thousand Oaks, CA: Sage Publications.
Scott, J. (Writer). (2012). Fox News Watch: How the media covered the Colorado massacre: Fox News Network.
The Pew Research Center For The People & The Press. (2012, August 1, 2012). Colorado Rampage Tops News Interest for July Retrieved August 5, 2012, from http://www.people-press.org/2012/08/01/colorado-rampage-tops-news-interest-for-july/
Westerstahl, J. (1983). Objective news reporting. Communication Research, 10(3), 403-424.