18
What Do People Do Online? Implications For the Future of Media Cindy Royal Assistant Professor School of Journalism and Mass Communication Texas State University [email protected] www.cindyroyal.com

What Do People Do Online? Implications For the Future of Media Cindy Royal Assistant Professor School of Journalism and Mass Communication Texas State

  • View
    214

  • Download
    0

Embed Size (px)

Citation preview

What Do People Do Online? Implications For the Future of Media

Cindy RoyalAssistant Professor

School of Journalism and Mass Communication

Texas State University

[email protected]

www.cindyroyal.com

Background

• The purpose of this study is to analyze the activities performed by users of social networking sites.

• Social networking sites rely on content created by the millions of users who develop profiles, communicate with friends, meet people, participate in communities, post comments to Web logs, and create multimedia.

• This project analyzes the usage of and activities performed within social networking sites to better understand their value to users.

Social Networks

Total U.S. Unique Visitors Feb. 2008 (millions)MySpace 68 Facebook 32YouTube 64 (comScore Press Releases, March 19, 2008)MySpace purchased by Fox News Interactive for $500 million in 2005YouTube purchased by Google for $1.65 billion in 2006

Social networking is a global phenomenon. Although Friendster has lost popularity to MySpace and Facebook in the U.S. (24 million U.S. unique visitors as of June 2007), eighty-eight percent of Friendster’s users reside in the Asia/Pacific region. Sixty-three percent of Bebo’s users 18 million unique visitors reside in Europe (comScore Press Release, July 31, 2007). Bebo was acquired by America Online for $850 million in March 2008 (“AOL Buys Bebo,” 2008).

Importance to Journalism

• Citizen Journalism• Sites like USA Today allow rankings and comments• Digg model• Growing expectation of participation via user-generated content• According to a Pew Center Study, young people who are savvy

with technology, known as “digital natives,” are frequently creating and contributing online content. The study reported that “more than half of American teenagers have created a blog, posted an artistic or written creation online, helped build a website, created an online profile, or uploaded photos and videos to a website”

• Tool for journalists• OpenID and OpenSocial - Web becomes social• Implications for future business models; social ad models

Relevant Theory

• Uses and Gratifications• Collaboration and Community theory• Jenkins Participatory Culture - Driven by digital technologies,

Jenkins described a world that is bound not by a particular medium or industry, but one in which consumer and producer are merged, and culture is created by means of sharing and participation.

Method

• A survey was developed to assess users’ activities on social networking sites. In October 2007, a survey was administered via Survey Monkey, an online survey service. Since the goal of this project was to analyze the activities of users of social networking sites, using an online survey was an efficient way to reach this group.

• Users of social networking sites were invited to discuss the topic of user-created content and to participate in the survey.

• Direct email correspondence was also used to engage the researchers’ friends, family, colleagues, professional contacts, and current and former students.

• Users were asked to forward information about the survey to their network of friends and to encourage them to participate.

Research Questions

1. What percentage of members performs specific activities on social networking sites?

2. How do activities differ based on gender?

3. How do activities differ based on age?

4. How do activities differ based on login frequency?

5. How do activities differ based on years using social networks?

6. How do activities differ based on social network membership?

Sample

• The survey was primarily intended for users of social networking, so a snowball technique was used to generate a wide sample of users.

• The survey spread very quickly, with users forwarding messages to their network of friends, and encouraging others to participate.

• Although this technique did not yield a random sample, the breadth of social networking users it engaged was, in and of itself, an interesting experiment in social networking.

• 384 respondents; 7 discarded due to incompleteness; 51 indicated they were not users of social networks

• Results of remaining 326 were analyzed - 64% female; 45% were students

• Age - 18-24: 38%; 25-34: 37%; 35-44: 14%

Geographic Representation

Northeast14%

Southeast16%

Midwest 8%

Southwest49%

West 4%

Outside U.S. 9%

Membership in Social Networks

• 46.3% were members of one social network, with 40.8% indicating membership in two, 8 % with membership in three and 1.8% holding membership in four of the sites we polled.

• 37.8% of the respondents indicated that they were members of both MySpace and Facebook, with 16.8% using only MySpace, 34.7% only Facebook

• Tribe.net, Last.fm, Flickr, Orkut, and Ning.com

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Visited Member

Facebook MySpace YouTube Friendster LinkedIn

Activities Performed

By Gender

Significant differences found only in Changed Profile Layout, Uploaded Photos, and Sent Received IM

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Changed profile layout

Uploaded photosSent/received IM

Commented/made wall post

Sold somethingUploaded video

Blogged

Purchased something

Played games

Joined group/network/channel

Created survey/poll

Responded to survey/poll

Uploaded audioClicked on an ad

Female

Male

By Age

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Changed profile layout

Uploaded photosSent/received IM

Commented/made wall postJoined group/network/channel

Played games

Purchased something

Blogged

Uploaded video

Created survey/pollClicked on an adUploaded audioSold something

Responded to survey/poll

18-24

25-34

35-44

45-54

55-62

Significant differences found in Changed Profile Layout, Uploaded Photos, Sent/Received IM, Commented/Made Wall Post, Joined Group/Network/Channel, Played Games

Login Frequency

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

100.0%

Changed profile layout

Uploaded photos

Commented/made wall postJoined group/network/channel

Blogged

Uploaded videoClicked on an adUploaded audioPlayed games

Responded to survey/poll

Sent/received IMSold something

Purchased somethingCreated survey/poll

<1/month

1/month

1/week

2-3/week

4-5/week

1/day

2-3/day

4-5/day

>5/day

Significant differences found in all except sold something, purchased something, created survey/poll

Years

Significant differences found in all except uploaded audio and uploaded video

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Uploaded photos

Commented or made a wall post

Blogged

Created a survey or poll

Clicked on an adSold somethingPlayed games

Changed profile layout

Joined a group, network, or channelSent or received an instant message

Responded to a survey or poll

Purchased something

Uploaded videoUploaded audio

1-2

3-4

5-7

8-10

11+

By Social Network

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Commented/made wall post

Uploaded photosUploaded videoUploaded audio

Joined group/network/channel

Responded to survey/poll

Created survey/poll

Blogged

Sent/received IMClicked on an ad

Purchased something

Sold something

Changed profile layout

Played games

MySpace

Facebook

YouTube

Discussion

• Broad range of activities engaged by users of social networking sites. • Activities reflect a strong trend in the frequency and variety of content

created by online users, and the expectation of participation.• The most frequently mentioned activities across all demographics were

uploading photos and making comments or wall posts. • Gender predicted differences in only a few activities, with a wider range

of activities being driven by age of participant and experience, measured separately by frequency of login and years using a social network.

• As users gained more experience, activities such as blogging, creating surveys or polls, and engaging with varied forms of multimedia become relevant.

• New implications to business model - Dallas Smythe (2001) - theory of audience labor. Rather than selling cultural works (and their embedded ideologies), the culture industries sell audiences to advertisers.

Future Research

1. What are the reasons users create content?

2. What concerns do users have about user-created content, both their own and that of others?

3. What are user-expected rewards or outcomes of creating content, both financial and non-financial?

-

1.00

2.00

3.00

4.00

5.00

Privacy

Friendship/Community

Copyright

Creative ExpressionInteraction/FameInformed Citizen

Activism

Addiction/Excessive Use

Efficiency UGC Value