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Stanford Seminar - Unethical Algorithms of Massive Scale

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EE380: Computer Systems Colloquium Seminar
Unethical Algorithms of Massive Scale: New Data, a New Discovery, a New Tracking System, and a New Organization
Speaker: Robert Epstein, The Sunlight Society and The American Institute for Behaviorial Research and Technology
The Internet has made possible new means of manipulating opinions, purchases and votes that are unprecedented in human history in their effectiveness, scale and clandestine nature. Whether closely guided by human hands or operating independently of their creators, these algorithms now guide human decision making 24/7, often in ways that have ethical consequences. Biased search rankings, for example, have been shown to shift the voting preferences of undecided voters dramatically without any awareness on their part that they are being manipulated (the Search Engine Manipulation Effect, or SEME).
Recent research shows that SEME can impact a wide range of opinions, not just voting preferences, and that multiple searches increase SEME's impact. New experiments also help to explain why SEME is so powerful and demonstrate how SEME can be suppressed to some extent.
In 2016, new research also demonstrated that search suggestions (in "autocomplete") can also be used shift opinions and votes (the Search Suggestion Effect, or SSE).
Demonstrating these possibilities in research is one thing; do search engine companies actually show people search suggestions or search results that are biased in some way?
In 2016, AIBRT researchers recruited a nationwide network of field agents whose election-related searches were collected and aggregated for six months before the November election, thus preserving 13,207 searchers and the 98,044 web pages to which the search results linked. This unique data set revealed that that search results were indeed biased toward one candidate during most of this period in all 10 search positions on the first page of search results - enough, perhaps, to shift millions of votes without people's knowledge.
About the Speaker:
Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum.
Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.
Unethical Algorithms of Massive Scale: New Data, a New Discovery, a New Tracking System, and a New Organization
Speaker: Robert Epstein, The Sunlight Society and The American Institute for Behaviorial Research and Technology
The Internet has made possible new means of manipulating opinions, purchases and votes that are unprecedented in human history in their effectiveness, scale and clandestine nature. Whether closely guided by human hands or operating independently of their creators, these algorithms now guide human decision making 24/7, often in ways that have ethical consequences. Biased search rankings, for example, have been shown to shift the voting preferences of undecided voters dramatically without any awareness on their part that they are being manipulated (the Search Engine Manipulation Effect, or SEME).
Recent research shows that SEME can impact a wide range of opinions, not just voting preferences, and that multiple searches increase SEME's impact. New experiments also help to explain why SEME is so powerful and demonstrate how SEME can be suppressed to some extent.
In 2016, new research also demonstrated that search suggestions (in "autocomplete") can also be used shift opinions and votes (the Search Suggestion Effect, or SSE).
Demonstrating these possibilities in research is one thing; do search engine companies actually show people search suggestions or search results that are biased in some way?
In 2016, AIBRT researchers recruited a nationwide network of field agents whose election-related searches were collected and aggregated for six months before the November election, thus preserving 13,207 searchers and the 98,044 web pages to which the search results linked. This unique data set revealed that that search results were indeed biased toward one candidate during most of this period in all 10 search positions on the first page of search results - enough, perhaps, to shift millions of votes without people's knowledge.
About the Speaker:
Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum.
Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.