2012-09-12-皮尤-Photos_and_Videos_as_Social_Currency_Online_16页_618kb

• Report Date: September 13, 2012

Main Findings

• Online Image Sharing: Photos and videos serve as social currency online. Fourty-six percent (46%) of adult internet users post original photos or videos they created, making them "creators." An additional 41% share found photos or videos elsewhere, making them "curators." Overall, 56% of internet users engaged in at least one of these activities, and 32% did both.
• Definition of Groups:
  • Creators: 45% shared photos they took themselves, 18% shared videos. The creator group includes those who did either (many do both).
  • Curators: 35% shared found photos, 25% shared found videos. The curator group includes those who did either (many do both).
• Smartphone Influence: The rise of smartphones with built-in cameras and social media platforms like YouTube, Pinterest, Instagram, and Tumblr facilitated image and video sharing. Facebook and LinkedIn usage remains high despite competition from newer platforms.
• Platform Usage:
  • Pinterest: Dominated by women (19% of online women use it), popular among younger adults.
  • Instagram: Popular among young adults (27% of those aged 18-29 use it), mobile app-focused with photo filters.
  • Tumblr: Used primarily by young adults (11% aged 18-29).
  • Facebook: Largest user base (66% of internet users).
  • LinkedIn: Popular with working professionals and older users (20% usage).
  • Twitter: Preferred by younger users (16% of internet users).

Key Statistics

• 46% of internet users are creators (share their own photos/videos).
• 41% are curators (repost found content).
• 56% of internet users create or curate content.
• 32% do both creating and curating.
• Gender Differences: Women are more likely than men to curate content and use Pinterest. Men and women show similar usage on Instagram and Tumblr.

Methodology

• Surveys were conducted via telephone (8/2/2012–8/5/2012) with 1,005 adults. 799 internet users were included.
• Margin of error: ±3.7-3.8 percentage points for the full and internet samples.
• Limited demographic data due to small sample sizes for race/ethnicity categories.