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Description
A statement appearing in social media provides a very significant challenge for determining the provenance of the statement. Provenance describes the origin, custody, and ownership of something. Most statements appearing in social media are not published with corresponding provenance data. However, the same characteristics that make the social media environment

A statement appearing in social media provides a very significant challenge for determining the provenance of the statement. Provenance describes the origin, custody, and ownership of something. Most statements appearing in social media are not published with corresponding provenance data. However, the same characteristics that make the social media environment challenging, including the massive amounts of data available, large numbers of users, and a highly dynamic environment, provide unique and untapped opportunities for solving the provenance problem for social media. Current approaches for tracking provenance data do not scale for online social media and consequently there is a gap in provenance methodologies and technologies providing exciting research opportunities. The guiding vision is the use of social media information itself to realize a useful amount of provenance data for information in social media. This departs from traditional approaches for data provenance which rely on a central store of provenance information. The contemporary online social media environment is an enormous and constantly updated "central store" that can be mined for provenance information that is not readily made available to the average social media user. This research introduces an approach and builds a foundation aimed at realizing a provenance data capability for social media users that is not accessible today.
ContributorsBarbier, Geoffrey P (Author) / Liu, Huan (Thesis advisor) / Bell, Herbert (Committee member) / Li, Baoxin (Committee member) / Sen, Arunabha (Committee member) / Arizona State University (Publisher)
Created2011
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Description
This dissertation is a visual and narrative-based autoethnography that narrates the lived educational experiences of the author from preschool through doctoral studies. The text portrays a story that explores issues of power, identity, and pedagogy in education. Told in narrative form, this project utilizes visual data, thematic coding, layering, and

This dissertation is a visual and narrative-based autoethnography that narrates the lived educational experiences of the author from preschool through doctoral studies. The text portrays a story that explores issues of power, identity, and pedagogy in education. Told in narrative form, this project utilizes visual data, thematic coding, layering, and writing as a method of inquiry to investigate and more fully understand injustices found in the American education system. Findings show how the author’s identities of student, teacher, and researcher influence and impact one another, and lead to the development of a future vision of self.

By examining the author’s roles as a student, teacher, and researcher this study centers on conflicts and inconsistencies that arise at the intersections of self, community, institutions, and society. Included in the narrative’s analysis are issues related to positionality, visions of success, empowerment, resistance, neoliberalism, colonialism, psychological distance, and ideological purpose in teaching. The narrative concludes with the development of a personal vision of purposeful, empowering, liberating, and transformative pedagogy.

This study contributes its voice to conversations about inequity and inequality in education by asking the reader to examine conflicts, ask new questions, and critically engage with the dialogic text.
ContributorsMazza, Bonnie Streff (Author) / Margolis, Eric (Thesis advisor) / Heineke Engebretson, Amy (Committee member) / Warriner, Doris (Committee member) / Arizona State University (Publisher)
Created2016
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Description
When cartographers and graphic designers create maps they choose typefaces. Often, serif and sans serif typefaces are paired together to represent different information on a map. Typefaces have a communicated tone and choosing the correct typeface combination to send the intended message can be challenging. The purpose of this study

When cartographers and graphic designers create maps they choose typefaces. Often, serif and sans serif typefaces are paired together to represent different information on a map. Typefaces have a communicated tone and choosing the correct typeface combination to send the intended message can be challenging. The purpose of this study was to create an analysis of the aesthetic characteristics of typeface pairings to assist map creators when choosing typefaces. An online survey was utilized to collect responses from graphic designers who have been trained in at least one year or more in design from a higher education institution. There were 30 participants in the study and they scored 24 typeface pairings, 12 differentiating and 12 superfamily, on 48 maps. Scoring was done on eight aesthetic characteristics: friendly, whimsical, cheap, neutral, bland, corporate, serious and modern. The researcher conducted an analysis of each typeface’s microaesthetics and then compared these to the survey’s scored aesthetic characteristics. It was concluded that there are many factors that go into comparing the typeface pairings of serif and sans serif typeface combinations. However, a selection of a superfamily typeface pairing is better than selecting a differentiating pairing. Future research should focus on conducting studies with a varying amount of typeface styles. Also, to include less maps per survey and a survey completion status bar.
ContributorsFinden, Nathan (Author) / Ralston, Laurie (Thesis advisor) / Carrasquilla, Christina (Committee member) / Westover, William (Committee member) / Arizona State University (Publisher)
Created2018