%0 Journal Article %1 WOS:000502888700023 %A Hoferer, Moritz %A Boettcher, Lucas %A Herrmann, Hans J %A Gersbach, Hans %C RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS %D 2020 %I ELSEVIER %J PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS %K Dynamical Opinion Targeting; formation; systems} {Campaigns; %R 10.1016/j.physa.2019.122795 %T The impact of technologies in political campaigns %V 538 %X Recent political campaigns have demonstrated how technologies are used to boost election outcomes by microtargeting voters. We propose and analyze a framework which analyzes how political activists can use technologies to target voters. Voters are represented as nodes of a network. Political activists reach out locally to voters and try to convince them. Depending on their technological advantage and budget, political activists target certain regions in the network where their activities are able to generate the largest vote-share gains. Analytically and numerically, we quantify vote-share gains and savings in terms of budget and number of activists from employing superior targeting technologies compared to traditional campaigns. Moreover, we demonstrate that the technological precision must surpass a certain threshold in order to lead to a vote-share gain or budget advantage. Finally, by calibrating the technology parameters to the recent U.S. presidential election, we show that a pure targeting technology advantage is consistent with Trump winning against Clinton. (C) 2019 Elsevier B.V. All rights reserved.

@article{WOS:000502888700023, abstract = {Recent political campaigns have demonstrated how technologies are used to boost election outcomes by microtargeting voters. We propose and analyze a framework which analyzes how political activists can use technologies to target voters. Voters are represented as nodes of a network. Political activists reach out locally to voters and try to convince them. Depending on their technological advantage and budget, political activists target certain regions in the network where their activities are able to generate the largest vote-share gains. Analytically and numerically, we quantify vote-share gains and savings in terms of budget and number of activists from employing superior targeting technologies compared to traditional campaigns. Moreover, we demonstrate that the technological precision must surpass a certain threshold in order to lead to a vote-share gain or budget advantage. Finally, by calibrating the technology parameters to the recent U.S. presidential election, we show that a pure targeting technology advantage is consistent with Trump winning against Clinton. (C) 2019 Elsevier B.V. All rights reserved.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}, author = {Hoferer, Moritz and Boettcher, Lucas and Herrmann, Hans J and Gersbach, Hans}, biburl = {https://www.bibsonomy.org/bibtex/22e932c3af8c8cc58a014b3c101ec7408/ppgfis_ufc_br}, doi = {10.1016/j.physa.2019.122795}, interhash = {80e64fa1c6f92e0753da80db430d1cb2}, intrahash = {2e932c3af8c8cc58a014b3c101ec7408}, issn = {0378-4371}, journal = {PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS}, keywords = {Dynamical Opinion Targeting; formation; systems} {Campaigns;}, publisher = {ELSEVIER}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {The impact of technologies in political campaigns}, tppubtype = {article}, volume = 538, year = 2020 }