Yanni Alexander Loukissas
Biographic Data
| ID | 2744302 |
|---|---|
| NAME | Yanni Alexander Loukissas |
| GIVEN NAMES | Yanni Alexander |
| FAMILY NAME | Loukissas |
| SIGNATURE | LOUKISSAS Y A |
| AFFILIATIONS | Georgia Institute of Technology |
| ORCID | 0000-0002-3023-6220 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Promoting youth advocacy for resilience to disasters
Who wants to live in a filter bubble
and was meant to be a light diversion from more serious investigative pieces on the political and health impacts of the pandemic. However, Zillow surfing highlights an important phenomenon that predates People have learned to use data to refresh the timeworn dream of owning the right home in the right neighborhood. This new version, which we might call the algorithmic American dream goes something like this: Access to data and algorithmic tools c…
All Data Are Local
How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them.…
Taking Big Data apart
If we are to think critically about Big Data initiatives, we must learn to take them apart. This paper explains how to interrogate Big Data, not as large homogenous resources, but as heterogeneous collections with varied and discordant local ties. My argument focuses on the Big Data of media collections: composite digital repositories of texts, images, and video created in different contexts, but brought together online. The primary example used …
After Big Data Failed
When widespread polling failed to accurately predict the 2016 US presidential election, producers and consumers of data didn’t abandon faith in numbers. Instead, they have reconfigured their relationships with big data. Producers are formulating redemption narratives, blaming specific datasets or poor interpretation, and the broader reception looks similar. Seeking an explanation for Trump’s unexpected victory, news audiences are calling out fail…
A place for Big Data
Place is a key concept in environmental studies and criticism. However, it is often overlooked as a dimension of situatedness in social studies of information. Rather, situatedness has been defined primarily as embodiment or social context. This paper explores place attachments in Big Data by adapting close and distant approaches for reading texts to examine the accessions data of the Arnold Arboretum, a living collection of trees, vines and shru…
A place for Big Data
Place is a key concept in environmental studies and criticism. However, it is often overlooked as a dimension of situatedness in social studies of information. Rather, situatedness has been defined primarily as embodiment or social context. This paper explores place attachments in Big Data by adapting close and distant approaches for reading texts to examine the accessions data of the Arnold Arboretum, a living collection of trees, vines and shru…
A place for Big Data
Place is a key concept in environmental studies and criticism. However, it is often overlooked as a dimension of situatedness in social studies of information. Rather, situatedness has been defined primarily as embodiment or social context. This paper explores place attachments in Big Data by adapting close and distant approaches for reading texts to examine the accessions data of the Arnold Arboretum, a living collection of trees, vines and shru…
Taking Big Data apart
If we are to think critically about Big Data initiatives, we must learn to take them apart. This paper explains how to interrogate Big Data, not as large homogenous resources, but as heterogeneous collections with varied and discordant local ties. My argument focuses on the Big Data of media collections: composite digital repositories of texts, images, and video created in different contexts, but brought together online. The primary example used …
After Big Data Failed
When widespread polling failed to accurately predict the 2016 US presidential election, producers and consumers of data didn’t abandon faith in numbers. Instead, they have reconfigured their relationships with big data. Producers are formulating redemption narratives, blaming specific datasets or poor interpretation, and the broader reception looks similar. Seeking an explanation for Trump’s unexpected victory, news audiences are calling out fail…
All Data Are Local
How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them.…
Who wants to live in a filter bubble
and was meant to be a light diversion from more serious investigative pieces on the political and health impacts of the pandemic. However, Zillow surfing highlights an important phenomenon that predates People have learned to use data to refresh the timeworn dream of owning the right home in the right neighborhood. This new version, which we might call the algorithmic American dream goes something like this: Access to data and algorithmic tools c…
Promoting youth advocacy for resilience to disasters
Computer Science (5 works) · Political science (5 works) · Sociology (3 works) · World Wide Web (3 works) · Big data (2 works) · Big Data Technologies and Applications (2 works) · Data science (2 works) · History (2 works) · Psychology (2 works) · Scholarship (2 works)