The Next Billion Users: Digital Life Beyond the West
Payal Arora
A digital anthropologist examines the online lives of millions of people in China, India, Brazil, and across the Middle East—home to most of the world’s internet users—and discovers that what they are doing is not what we imagine. New-media pundits obsess over online privacy and security, cyberbullying, and revenge porn, but do these things really matter in most of the world? The Next Billion Users reveals that many assumptions about internet use in developing countries are wrong. After immersing herself in factory towns, slums, townships, and favelas, Payal Arora assesses real patterns of internet usage in India, China, South Africa, Brazil, and the Middle East. She finds Himalayan teens growing closer by sharing a single computer with common passwords and profiles. In China’s gaming factories, the line between work and leisure disappears. In Riyadh, a group of young women organizes a YouTube fashion show. Why do citizens of states with strict surveillance policies appear to care so little about their digital privacy? Why do Brazilians eschew geo-tagging on social media? What drives young Indians to friend “foreign” strangers on Facebook and give “missed calls” to people? The Next Billion Users answers these questions and many more.
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Business, Finance, and Management | 2020 | Winner | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- China74%
- India74%
- Brazil55%
03 Suggested argument
Common Western assumptions about internet use in developing countries are often wrong; many users’ priorities and behaviors differ from concerns emphasized by new-media pundits.
Model confidence 72%
04 Reading orientation
72 / 100 academicAcademic
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 76%.