Uncovering What Readers Know: Understanding Readers’ Online and Offline Processes for Identifying Story Elements

School-age children are frequently asked to read and summarize narrative texts. However, despite the frequency that summarizing tasks are assigned, teachers infrequently provide instruction on summarizing narratives. In addition, researchers have failed to empirically investigate a summarizing technique specifically designed for narratives. In Study 1, thirty typically developing fourth grade students read passages at lower and upper levels of difficulty and produced summaries of the passages. The treatment participants received four, thirty-minute intervention sessions on using story grammar to summarize the narratives. Results found that story grammar is an effective method for summarizing narratives, and that text difficulty impacts summarizing ability. However, Study 1 also found that the participants struggled to correctly identify the story solution across both levels of text difficulty. Therefore, Study 2 was designed to further examine the online and offline processes readers use to identify the story problem and solution, and additional factors that may impact it. Specifically, Study 2 used a think aloud protocol to investigate online processes for identifying the story problem and solution. The study further investigated the impact of additional factors such as knowledge of story structure, exposure to narratives, and text difficulty on identifying the story problem and solution. Results suggested that, overall, participants’ identification of the story problem and solution were impacted by text level, knowledge of narrative structure, and exposure to print

Marginalized narratives

This issue of CITAR (Journal of Arts Science and Technology) is especially devoted to what we designated as Marginalized Narratives. It is a special issue that collects studies published upon the 5th Colloquium on Narrative, Medium and Cognition, held at the University of Algarve in November 2018, and which was focused on that topic. In line with what the colloquium proposed, the works now published share a broad understanding of the concept of narrative.info:eu-repo/semantics/publishedVersio

Adapting Automatic Summarization to New Sources of Information

English-language news articles are no longer necessarily the best source of information. The Web allows information to spread more quickly and travel farther: first-person accounts of breaking news events pop up on social media, and foreign-language news articles are accessible to, if not immediately understandable by, English-speaking users. This thesis focuses on developing automatic summarization techniques for these new sources of information. We focus on summarizing two specific new sources of information: personal narratives, first-person accounts of exciting or unusual events that are readily found in blog entries and other social media posts, and non-English documents, which must first be translated into English, often introducing translation errors that complicate the summarization process. Personal narratives are a very new area of interest in natural language processing research, and they present two key challenges for summarization. First, unlike many news articles, whose lead sentences serve as summaries of the most important ideas in the articles, personal narratives provide no such shortcuts for determining where important information occurs in within them; second, personal narratives are written informally and colloquially, and unlike news articles, they are rarely edited, so they require heavier editing and rewriting during the summarization process. Non-English documents, whether news or narrative, present yet another source of difficulty on top of any challenges inherent to their genre: they must be translated into English, potentially introducing translation errors and disfluencies that must be identified and corrected during summarization. The bulk of this thesis is dedicated to addressing the challenges of summarizing personal narratives found on the Web. We develop a two-stage summarization system for personal narrative that first extracts sentences containing important content and then rewrites those sentences into summary-appropriate forms. Our content extraction system is inspired by contextualist narrative theory, using changes in writing style throughout a narrative to detect sentences containing important information; it outperforms both graph-based and neural network approaches to sentence extraction for this genre. Our paraphrasing system rewrites the extracted sentences into shorter, standalone summary sentences, learning to mimic the paraphrasing choices of human summarizers more closely than can traditional lexicon- or translation-based paraphrasing approaches. We conclude with a chapter dedicated to summarizing non-English documents written in low-resource languages – documents that would otherwise be unreadable for English-speaking users. We develop a cross-lingual summarization system that performs even heavier editing and rewriting than does our personal narrative paraphrasing system; we create and train on large amounts of synthetic errorful translations of foreign-language documents. Our approach produces fluent English summaries from disdisfluent translations of non-English documents, and it generalizes across languages

Storia: Summarizing Social Media Content based on Narrative Theory using Crowdsourcing

People from all over the world use social media to share thoughts and opinions about events, and understanding what people say through these channels has been of increasing interest to researchers, journalists, and marketers alike. However, while automatically generated summaries enable people to consume large amounts of data efficiently, they do not provide the context needed for a viewer to fully understand an event. Narrative structure can provide templates for the order and manner in which this data is presented to create stories that are oriented around narrative elements rather than summaries made up of facts. In this paper, we use narrative theory as a framework for identifying the links between social media content. To do this, we designed crowdsourcing tasks to generate summaries of events based on commonly used narrative templates. In a controlled study, for certain types of events, people were more emotionally engaged with stories created with narrative structure and were also more likely to recommend them to others compared to summaries created without narrative structure

The Making of Social Theory

This article analyzes the practice of making social theory in terms of the changing styles manifested in writing social theory texts. It is claimed that, taken generally, "writing" social theory has not moved beyond its most widespread form of being an exercise in the systematic treatment of the phenomena under study rather than being a genuine problem-solving activity. As demonstrated on selected historical examples of "writing" social theory, it seems evident that there is no standard form or style of "making" social theory apart from commentary. And that social theory, unlike related styles of academic writing, uses "commentary" not as a part of the argument being elaborated, but as a standard and routine way of making knowledge claims. It is argued here that commentary is not the basic method only in the contemporary and largely educational and instructive forms of social theory, but also in the supposedly original achievements of the field's leading figures. The argument elaborated here suggests that the inability to arrive at a standard form of "making" social theory may be a consequence of individual, authentic, original, creative thinking drawing its inspiration from sources that are heavily derivative and sometimes permeated by very chaotic and strenuous efforts to demonstrate the coherence of the thinking that it some way refers to the social world

Digital Technology and the End of Social Studies Education

In Fall 2000, when "Theory and Research in Social Education" (TRSE) first dedicated an issue to technologies in social studies education, Neil Postman contributed a View Point piece to this issue. Postman, who died in 2003, was an interesting choice because he was an outspoken critic of educational technology who believed that, as he said at the time, "the new technologies both in and out of the classroom are a distraction and an irrelevance." Taking his cue from Postman, the author addresses the issue of digital technology in social studies education by telling a story of his own. He offers a wandering narrative -- and an old-fashioned one at that -- common in the religious stories that Postman saw as the prototype for all cultural stories: the narrative of faith, tested by doubt, emerging reaffirmed. He also discusses two elements that he believes need to be far more present in social studies education, at the pre-service and K-12 level: (1) Clearer disciplinary perspectives; and (2) easier ways of working with data within these perspectives. Technologies, if carefully designed, can be helpful in both areas

Advancing Faculty DiversityThrough Self-Directed Mentoring

Mentoring is widely acknowledged to be important in career success, yet may be lacking for female and minority law professors, contributing to disparities in retention and promotion of diverse faculty. This Article presents the results of a unique diversity mentoring program conducted at one law school. Mentoring is often thought of as something directed by the mentor on behalf of the protégé. Our framework inverts that model, empowering diverse faculty members to proactively cultivate their own networks of research mentors. The studied intervention consisted of modest programming on mentorship, along with supplemental travel funds to focus specifically on travel for the purpose of cultivating mentors beyond one’s own institution. Participants were responsible for setting their own mentorship goals, approaching mentors and arranging meetings, and reporting annually on their activities and progress. Both quantitative and qualitative evidence demonstrate that the program has been effective along its measurable goals in its first year. Participants report growing their networks of mentors, receiving significant advice on research and the tenure process, and being sponsored for new opportunities. The authors conclude that this type of mentoring initiative, if more broadly applied, could have a significant impact on reducing disparities in retention and promotion in the legal academy. To facilitate such replication, the Article describes both the process of designing the program and the actual operation of the program as carried out at one school. In sum, the Article offers a concrete starting point for discussions at any law school interested in advancing faculty diversity through improved mentoring

The Unfolding of Digital Transformation in Pre-Digital Companies: A Meta-Case Analysis

Due to the growing dispersion of digital technology, many organizations engage in digital transformation. While digital transformation case studies have increased in the information systems and management domain, different ways in which digital transformation unfolds have been proposed. We perform a qualitative meta-analysis of case studies on digital transformation initiatives. From this analysis, we develop two core narratives (a dialectical and a teleological narrative) that we explain in-depth and derive two research avenues from our analysis. Thus, we are advancing the discussion on the unfolding of digital transformation by 1) summarizing existing case studies into two core narratives and 2) shifting the discussion from an explorative character towards a more explanatory approach to better understand how digital transformation unfolds within pre-digital organizations