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CS Talk Abstract: Social choice studies ordinal preference aggregation
with applications ranging from high-stakes political elections to low-stakes
movie rating websites. One recurring concern is that of the robustness
of a social choice (voting) rule to manipulation, bribery and other kinds
of strategic behavior. A number of results have identified ways in which
computational complexity can provide a new barrier to strategic behavior,
but most of previous work focused on case by-case analyses for specific
social choice rules and specific types of strategic behavior. In this
talk, I present a dichotomy theorem for the manipulability of a broad
class of generalized scoring rules and a broad class of strategic behavior
called vote operations. When the votes are i.i.d., then with high probability
the number of vote operations that are needed to achieve the strategic
individual's goal is 0, \Theta(\sqrt n), \Theta(n), or infinity. This
theorem significantly strengthens previous results and implies that most
social choice situations are more vulnerable to many types of strategic
behavior than previously believed.
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