Nick Hagar
Datos Biográficos
| ID | 4448693 |
|---|---|
| NOMBRE | Nick Hagar |
| NOMBRES | Nick |
| APELLIDO | Hagar |
| FIRMA | HAGAR N |
| AFILIACIONES | Northwestern University |
| ORCID | 0000-0001-5110-3737 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAS | 19 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 3 |
Algorithmic indifference
The role of recommendation systems in news consumption has been hotly contested. From one perspective, the combination of personalized recommendations and practically limitless content diminishes news consumption, as people turn to more entertaining fare. From another, algorithmic systems and social networks heighten incidental exposure, raising opportunities for news consumption regardless of explicit individual interest. In this work, we examin…
Concentration without cumulative advantage
Many attention markets exhibit stable patterns of concentration, where a few producers attract and sustain a far greater share of the audience than others. This inequality often follows patterns consistent with cumulative advantage, a process in which performance compounds over time. Attention to news sources online possesses these characteristics; however, online audiences also fragment across many disparate news producers. How do social media a…
Writer movements between news outlets reflect political polarization in media
Digital news outlets rely on a variety of outside contributors, from freelance journalists, to political commentators, to executives and politicians. These external dependencies create a network among news outlets, traced along the contributors they share. Using connections between outlets, we demonstrate how contributors’ publishing trajectories tend to align with outlet political leanings. We also show how polarized clustering of outlets transl…
Anticipating Attention
Headlines play an important role in both news audiences' attention decisions online and in news organizations’ efforts to attract that attention. A large body of research focuses on developing generally applicable heuristics for more effective headline writing. In this work, we measure the importance of a number of theoretically motivated textual features to headline performance. Using a corpus of hundreds of thousands of headline A/B tests run b…
Optimizing Content with A/B Headline Testing
Audience analytics are an increasingly essential part of the modern newsroom as publishers seek to maximize the reach and commercial potential of their content. On top of a wealth of audience data collected, algorithmic approaches can then be applied with an eye towards predicting and optimizing the performance of content based on historical patterns. This work focuses specifically on content optimization practices surrounding the use of A/B head…
Algorithmic indifference
The role of recommendation systems in news consumption has been hotly contested. From one perspective, the combination of personalized recommendations and practically limitless content diminishes news consumption, as people turn to more entertaining fare. From another, algorithmic systems and social networks heighten incidental exposure, raising opportunities for news consumption regardless of explicit individual interest. In this work, we examin…
Anticipating Attention
Headlines play an important role in both news audiences' attention decisions online and in news organizations’ efforts to attract that attention. A large body of research focuses on developing generally applicable heuristics for more effective headline writing. In this work, we measure the importance of a number of theoretically motivated textual features to headline performance. Using a corpus of hundreds of thousands of headline A/B tests run b…
Writer movements between news outlets reflect political polarization in media
Digital news outlets rely on a variety of outside contributors, from freelance journalists, to political commentators, to executives and politicians. These external dependencies create a network among news outlets, traced along the contributors they share. Using connections between outlets, we demonstrate how contributors’ publishing trajectories tend to align with outlet political leanings. We also show how polarized clustering of outlets transl…
Optimizing Content with A/B Headline Testing
Audience analytics are an increasingly essential part of the modern newsroom as publishers seek to maximize the reach and commercial potential of their content. On top of a wealth of audience data collected, algorithmic approaches can then be applied with an eye towards predicting and optimizing the performance of content based on historical patterns. This work focuses specifically on content optimization practices surrounding the use of A/B head…
Writer movements between news outlets reflect political polarization in media
Digital news outlets rely on a variety of outside contributors, from freelance journalists, to political commentators, to executives and politicians. These external dependencies create a network among news outlets, traced along the contributors they share. Using connections between outlets, we demonstrate how contributors’ publishing trajectories tend to align with outlet political leanings. We also show how polarized clustering of outlets transl…
Anticipating Attention
Headlines play an important role in both news audiences' attention decisions online and in news organizations’ efforts to attract that attention. A large body of research focuses on developing generally applicable heuristics for more effective headline writing. In this work, we measure the importance of a number of theoretically motivated textual features to headline performance. Using a corpus of hundreds of thousands of headline A/B tests run b…
Concentration without cumulative advantage
Many attention markets exhibit stable patterns of concentration, where a few producers attract and sustain a far greater share of the audience than others. This inequality often follows patterns consistent with cumulative advantage, a process in which performance compounds over time. Attention to news sources online possesses these characteristics; however, online audiences also fragment across many disparate news producers. How do social media a…
Algorithmic indifference
The role of recommendation systems in news consumption has been hotly contested. From one perspective, the combination of personalized recommendations and practically limitless content diminishes news consumption, as people turn to more entertaining fare. From another, algorithmic systems and social networks heighten incidental exposure, raising opportunities for news consumption regardless of explicit individual interest. In this work, we examin…
Advertising (5 obras) · Computer Science (5 obras) · Business (4 obras) · Misinformation and Its Impacts (3 obras) · World Wide Web (3 obras) · Complex Network Analysis Techniques (2 obras) · Context (archaeology (2 obras) · Data science (2 obras) · Headline (2 obras) · History (2 obras)