Výsledky vyhledávání - "de León, Ernesto"

Report

Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy

Autor: de León, Ernesto, Makhortykh, Mykola, Urman, Aleksandra, Ulloa, Roberto

The conspiracy theory that the US 2020 presidential election was fraudulent - the Big Lie - remained a prominent part of the media agenda months after the election. Whether and how search engines prioritized news stories that sought to thoroughly deb

Externí odkaz: http://arxiv.org/abs/2409.10531

Zobrazit plný text záznamu

Report

Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution

Autor: Adam, Silke, Makhortykh, Mykola, Maier, Michaela, Aigenseer, Viktor, Urman, Aleksandra, Lopez, Teresa Gil, Christner, Clara, de León, Ernesto, Ulloa, Roberto

This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and

Externí odkaz: http://arxiv.org/abs/2403.02931

Zobrazit plný text záznamu

Akademický článek

Panning for gold: Comparative analysis of cross-platform approaches for automated detection of political content in textual data.

Autor: Makhortykh, Mykola¹ (AUTHOR) mykola.makhortykh@unibe.ch, de León, Ernesto¹ (AUTHOR), Urman, Aleksandra² (AUTHOR), Gil-Lopez, Teresa³ (AUTHOR), Christner, Clara⁴ (AUTHOR), Sydorova, Maryna¹ (AUTHOR), Adam, Silke¹ (AUTHOR), Maier, Michaela⁴ (AUTHOR)

Publikováno v: PLoS ONE. 11/18/2024, Vol. 19 Issue 11, p1-15. 15p.

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data

Autor: Makhortykh, Mykola, de León, Ernesto, Urman, Aleksandra, Christner, Clara, Sydorova, Maryna, Adam, Silke, Maier, Michaela, Gil-Lopez, Teresa

The growing availability of data about online information behaviour enables new possibilities for political communication research. However, the volume and variety of these data makes them difficult to analyse and prompts the need for developing auto

Externí odkaz: http://arxiv.org/abs/2207.00489

Zobrazit plný text záznamu