How Do Home Computer Users Browse the Web?

With the ubiquity of web tracking, information on how people navigate the internet is abundantly collected yet, due to its proprietary nature, rarely distributed. As a result, our understanding of user browsing primarily derives from small-scale studies conducted more than a decade ago. To provide an broader updated perspective, we analyze data from 257 participants who consented to have their home computer and browsing behavior monitored through the Security Behavior Observatory. Compared to previous work, we find a substantial increase in tabbed browsing and demonstrate the need to include tab information for accurate web measurements. Our results confirm that user browsing is highly centralized, with 50% of internet use spent on 1% of visited websites. However, we also find that users spend a disproportionate amount of time on low-visited websites, areas with a greater likelihood of containing risky content. We then identify the primary gateways to these sites and discuss implications for future research.

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Researchers have long debated whether entrepreneurship policy should focus on place or people. In this paper, we extend the place-based versus people-based theories using contemporaneous and geographically granular web-user online activity data to predict a region’s proclivity for entrepreneurship. We compare two theoretical hypotheses: the urban third places—informal gathering locations—that facilitate social interaction and entrepreneurship, in contrast to the creative class which fosters entrepreneurial energy and opportunity in a region. Specifically, we assess whether business formation has a stronger statistical relationship with the browsing behavior of individuals visiting websites associated with third place locations—e.g., restaurants or bars—or the concentration of web browsing behavior associated with “the creative class”. Using U.S. county-level data, we find that both urban third places and the creative class can predict about 70% of the variations in regional business formation, with the creative class having a slight competitive edge.

145 Conservation Grazing by Goats in Eastern Oak-hickory Forest: Browsing Behavior and Forage Selectivity

Oak-hickory (Quercus spp. and Carya spp.) recruitment and regeneration are negatively impacted by non-natives species. Goats can provide an initial control of non-native vegetation; however, browsing behavior and preference should be studied before their introduction in the forest. Our objective was to analyze goats’ browsing behavior and preference in an eastern oak-hickory forest. We hypothesized that browsing behavior and preference are dependent on browse biomass composition and grazing duration. This study was conducted in Coshocton, Ohio, and contained two units with nine experimental plots each. Vegetation was surveyed during the summer of 2019 for biomass composition. Cluster analyses were performed using species identity and biomass. Vegetation nutritional analysis including fiber, protein, and sugar was completed. Two stocking rate densities were implemented: high (1,019 goat×day×ha-1) and low (509×goat×day×ha-1). Goats browsed for four or two days for a total of 36 days. Continuous observation was implemented to determine browsing behavior. Forage selectivity was measured using Jacob’s Selectivity Index (JSI). A linear mixed model was calculated using clusters, species, and/or grazing duration (fixed effect), experimental plots (random effect), and JSI (dependent variable). Spicebush (Lindera benzoin), multiflora rose (Rosa multiflora Thunb.), privet (Ligustrum spp.), and oriental bittersweet (Celastrus orbiculatus Thunb.) composed more than 70% of goats’ diet. Species identity, including nutritional components and physical defense mechanisms, was the most important factor in browsing selectivity. Goats preferred spicebush and privet and avoided multiflora irrespective clusters (P 0.001). In the first two days of browsing, goats favored spicebush and privet, avoided multiflora, and had a neutral preference for bittersweet (P-value 0.001). In the last two days, privet was selected and other species had a neutral selection (P 0.001). Goats will target spicebush and privet and avoid multiflora; therefore, an extended browsing period is recommended. Future studies should evaluate the effect of chemical defense mechanisms on browsing.

Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students’ learning journey in remote learning. Specifically, our solution is based on the Raspberry Pi minicomputer and Polar H10 chest belt. In this work-in-progress paper, we present preliminary results and experiences we collected from a field study with medical students using our developed infrastructure. Our results do not only provide a new direction for more effectively capturing different types of data in remote learning by addressing the underlying challenges of remote setups, but also serve as a foundation for future work on developing a less obtrusive, (near) real-time measurement method based on the classification of cognitive-affective states such as flow or other learning-relevant constructs with the captured data using supervised machine learning.

Examining the consumption of radical content on YouTube

Although it is under-studied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world. Recently, YouTube’s scale has fueled concerns that YouTube users are being radicalized via a combination of biased recommendations and ostensibly apolitical “anti-woke” channels, both of which have been claimed to direct attention to radical political content. Here we test this hypothesis using a representative panel of more than 300,000 Americans and their individual-level browsing behavior, on and off YouTube, from January 2016 through December 2019. Using a labeled set of political news channels, we find that news consumption on YouTube is dominated by mainstream and largely centrist sources. Consumers of far-right content, while more engaged than average, represent a small and stable percentage of news consumers. However, consumption of “anti-woke” content, defined in terms of its opposition to progressive intellectual and political agendas, grew steadily in popularity and is correlated with consumption of far-right content off-platform. We find no evidence that engagement with far-right content is caused by YouTube recommendations systematically, nor do we find clear evidence that anti-woke channels serve as a gateway to the far right. Rather, consumption of political content on YouTube appears to reflect individual preferences that extend across the web as a whole.

Online News in India: Appraising the Digital News Consumption Landscape in theWorld’s Largest Democracy (2014-2018)

How do people in the world's largest democracy consume online news? This article reports findings from the analysis of a novel empirical dataset tracking the web-browsing behavior of more than 50,000 Indian internet users over 45 months. In doing so, it seeks to understand the digital news consumption landscape of a crucial, but understudied context and appraise the prominence and longitudinal trends of the audience share of different types of news sources in the online Indian space. It finds that while digital-born media have not contested the hegemony of legacy media, regional vernacular media have suffered significant declines in their audience shares. The article proposes the concept of audience mobility, using it to identify qualitatively distinct dynamics in how vernacular audiences in India have migrated to national vis-à-vis international outlets. The findings are discussed in light of contemporary changes in Indian society that is characterized by increasing digitization and literacy.

Factors Influencing Online Impulsive Buying Behavior in Indonesia

Technology-based era has brought market into higher level competition in which online shopping set the new standard for customer and marketer transaction. Prior study held in developed countries has resulted variety of customers online shopping motives, meanwhile in Indonesia where online transaction just started to significantly increase, the driven factors of online impulsive buying behavior still need to be explored thusly. The construct of this study reflects to customer’s hedonic browsing behavior and utilitarian browsing behavior that motivates them to make an online impulsive buying decision. This study has constructed the models based on prior study related to online impulsive buying in several countries and proposed promotion, positive emotion, and psychological distance as variable predictors. This study validated the framework using Partial Least Square-Structural Equation Modeling (PLS-SEM). Finding indicates that psychological distance (PSYD) is directly affecting online impulsive buying behavior (IMPB), yet promotion (PMTN) and positive emotion (PSTE) are indirectly affecting online impulsive buying behavior (IMPB). Result implicates that Indonesian customers are dominated by impulsive yet efficient-first type of customers.