Karrie Karahalios
Biographic Data
| ID | 2086303 |
|---|---|
| NAME | Karrie Karahalios |
| GIVEN NAMES | Karrie |
| FAMILY NAME | Karahalios |
| SIGNATURE | KARAHALIOS K |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0001-8788-3405 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 25 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 2 |
First I "like" it, then I hide it
Many online platforms use curation algorithms that are opaque to the user. Recent work suggests that discovering a filtering algorithm's existence in a curated feed influences user experience, but it remains unclear how users reason about the operation of these algorithms. In this qualitative laboratory study, researchers interviewed a diverse, non-probability sample of 40 Facebook users before, during, and after being presented alternative displ…
"I always assumed that I wasn't really that close to [her]"
Our daily digital life is full of algorithmically selected content such as social media feeds, recommendations and personalized search results. These algorithms have great power to shape users' experiences, yet users are often unaware of their presence. Whether it is useful to give users insight into these algorithms' existence or functionality and how such insight might affect their experience are open questions. To address them, we conducted a …
Widespread Worry and the Stock Market
Our emotional state influences our choices. Research on how it happens usually comes from the lab. We know relatively little about how real world emotions affect real world settings, like financial markets. Here, we demonstrate that estimating emotions from weblogs provides novel information about future stock market prices. That is, it provides information not already apparent from market data. Specifically, we estimate anxiety, worry and fear f…
The Network in the Garden
History repeatedly demonstrates that rural communities have unique technological needs. Yet little is known about how rural communities use modern technologies, which therefore results in a collective lack knowledge about how to design for rural life. To address this gap, the present empirical article investigates behavioral differences between more than 3,000 rural and urban social media users. With a data set collected from a broadly popular so…
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the theme of tie strength. Our work bridges this gap between theory and practice. In this paper, we present a predictive model that maps social media data to tie strength. The model builds on a dataset of over 2,000 soci…
Visualizing Conversation
Although the archive of text generated by a persistent conversation (i.e. newsgroup, mailing list, recorded chat, etc.) is searchable, it is not very expressive of the underlying social patterns. In this paper we will discuss the design of graphical interfaces that reveal the social structure of the conversation by visualizing patterns such as bursts of activity, the arrival of new members, or the evolution of conversational topics. Our focus is …
Widespread Worry and the Stock Market
Our emotional state influences our choices. Research on how it happens usually comes from the lab. We know relatively little about how real world emotions affect real world settings, like financial markets. Here, we demonstrate that estimating emotions from weblogs provides novel information about future stock market prices. That is, it provides information not already apparent from market data. Specifically, we estimate anxiety, worry and fear f…
Visualizing Conversation
Although the archive of text generated by a persistent conversation (i.e. newsgroup, mailing list, recorded chat, etc.) is searchable, it is not very expressive of the underlying social patterns. In this paper we will discuss the design of graphical interfaces that reveal the social structure of the conversation by visualizing patterns such as bursts of activity, the arrival of new members, or the evolution of conversational topics. Our focus is …
The Network in the Garden
History repeatedly demonstrates that rural communities have unique technological needs. Yet little is known about how rural communities use modern technologies, which therefore results in a collective lack knowledge about how to design for rural life. To address this gap, the present empirical article investigates behavioral differences between more than 3,000 rural and urban social media users. With a data set collected from a broadly popular so…
Visualizing Conversation
Although the archive of text generated by a persistent conversation (i.e. newsgroup, mailing list, recorded chat, etc.) is searchable, it is not very expressive of the underlying social patterns. In this paper we will discuss the design of graphical interfaces that reveal the social structure of the conversation by visualizing patterns such as bursts of activity, the arrival of new members, or the evolution of conversational topics. Our focus is …
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the theme of tie strength. Our work bridges this gap between theory and practice. In this paper, we present a predictive model that maps social media data to tie strength. The model builds on a dataset of over 2,000 soci…
Widespread Worry and the Stock Market
Our emotional state influences our choices. Research on how it happens usually comes from the lab. We know relatively little about how real world emotions affect real world settings, like financial markets. Here, we demonstrate that estimating emotions from weblogs provides novel information about future stock market prices. That is, it provides information not already apparent from market data. Specifically, we estimate anxiety, worry and fear f…
The Network in the Garden
History repeatedly demonstrates that rural communities have unique technological needs. Yet little is known about how rural communities use modern technologies, which therefore results in a collective lack knowledge about how to design for rural life. To address this gap, the present empirical article investigates behavioral differences between more than 3,000 rural and urban social media users. With a data set collected from a broadly popular so…
"I always assumed that I wasn't really that close to [her]"
Our daily digital life is full of algorithmically selected content such as social media feeds, recommendations and personalized search results. These algorithms have great power to shape users' experiences, yet users are often unaware of their presence. Whether it is useful to give users insight into these algorithms' existence or functionality and how such insight might affect their experience are open questions. To address them, we conducted a …
First I "like" it, then I hide it
Many online platforms use curation algorithms that are opaque to the user. Recent work suggests that discovering a filtering algorithm's existence in a curated feed influences user experience, but it remains unclear how users reason about the operation of these algorithms. In this qualitative laboratory study, researchers interviewed a diverse, non-probability sample of 40 Facebook users before, during, and after being presented alternative displ…
Computer Science (5 works) · Psychology (5 works) · World Wide Web (5 works) · Social Psychology (4 works) · Social media (3 works) · Complex Network Analysis Techniques (2 works) · Data science (2 works) · Engineering (2 works) · Human–computer interaction (2 works) · Innovative Human-Technology Interaction (2 works)