scholarly journals 3bij3 ‐ Developing a framework for researching recommender systems and their effects

2020 ◽  
Vol 2 (1) ◽  
pp. 53-79
Author(s):  
Felicia Loecherbach ◽  
Damian Trilling
Keyword(s):  
Recommender Systems ◽  
Large Scale ◽  
Recommendation System ◽  
Field Experiments ◽  
Online News ◽  
Time News ◽  
Recommendation Algorithms ◽  
Large Scale Field ◽  
Web App ◽  
The Impact

Abstract Today’s online news environment is increasingly characterized by personalized news selections, relying on algorithmic solutions for extracting relevant articles and composing an individual’s news diet. Yet, the impact of such recommendation algorithms on how we consume and perceive news is still understudied. We therefore developed one of the first software solutions to conduct studies on effects of news recommender systems in a realistic setting. The web app of our framework (called 3bij3) displays real-time news articles selected by different mechanisms. 3bij3 can be used to conduct large-scale field experiments, in which participants’ use of the site can be tracked over extended periods of time. Compared to previous work, 3bij3 gives researchers control over the recommendation system under study and creates a realistic environment for the participants. It integrates web scraping, different methods to compare and classify news articles, different recommender systems, a web interface for participants, gamification elements, and a user survey to enrich the behavioural measures obtained.

scholarly journals 3bij3 – Developing a framework for researching recommender systems and their effects

2019 ◽  
Author(s):  
Felicia Loecherbach ◽  
Damian Trilling
Keyword(s):  
Recommender Systems ◽  
Large Scale ◽  
Recommendation System ◽  
Field Experiments ◽  
Online News ◽  
Behavioral Measures ◽  
Time News ◽  
Recommendation Algorithms ◽  
Large Scale Field ◽  
The Impact

Today’s online news environment is increasingly characterized by personalized news selections, relying on algorithmic solutions for extracting relevant articles and composing an individual’s news diet. Yet, the impact of such recommendation algorithms on how we consume and perceive news is still understudied. We therefore developed one of the first software solutions to conduct studies on effects of news recommender systems in a realistic setting. The web app of our framework (called 3bij3) displays real-time news articles selected by different mechanisms. 3bij3 can be used to conduct large-scale field experiments, in which participants’ use of the site can be tracked over extended periods of time. Compared to previous work, 3bij3 gives researchers control over the recommendation system under study and creates a realistic environment for the participants. It integrates web scraping, different methods to compare and classify news articles, different recommender systems, a web interface for participants, gamification elements, and a user survey to enrich the behavioral measures obtained.

scholarly journals Reduced Dosage of Methyl Bromide for Controlling Verticillium Wilt of Potato in Experimental and Commercial Plots

Plant Disease ◽  
1997 ◽  
Vol 81 (5) ◽  
pp. 469-474 ◽  
Author(s):  
A. Gamliel ◽  
A. Grinstein ◽  
Y. Peretz ◽  
L. Klein ◽  
A. Nachmias ◽  
...  
Keyword(s):  
Verticillium Wilt ◽  
Methyl Bromide ◽  
Large Scale ◽  
Field Experiments ◽  
Tuber Yield ◽  
Total Yield ◽  
Effective Control ◽  
Large Scale Field ◽  
Commercial Applications

The use of gas-impermeable films to reduce the dosage of methyl bromide (MB) required to control Verticillium wilt in potatoes was examined in field experiments, conducted in soils naturally infested with Verticillium dahliae. The incidence and severity of Verticillium wilt were significantly reduced (by 74 to 94%) by fumigation with MB at 50 g/m2 under standard low density polyethylene (LDPE) or at 25 g/m2 under gas-impermeable films. Fumigation at 25 g/m2 under LDPE was less effective. Disease severity was inversely correlated (r2 = 0.89 to 0.91) with chlorophyll content in the leaves. Fumigation also reduced (by 89 to 100%) stem colonization by the pathogen. Potato yield in the fumigated plots was significantly higher (26 to 69%), than in their nonfumigated counterparts, and was inversely correlated with disease index (r2 = 0.69 to 0.9). The percentage of high-value tubers (above 45 g) was 52 to 56% of total yield in the fumigated plots as compared with 32 to 40% in the nonfumigated controls. Thus, fumigation also improved the commercial quality of tuber yield. Effective control of V. dahliae and yield increases following MB fumigation at the recommended dosage or at a reduced dosage with gas-impermeable films was also observed in a consecutive crop. These results were verified in a large-scale field experiment using commercial applications, further demonstrating the feasibility of reducing MB dosages under farm conditions, without reducing its effectiveness in terms of disease control and yield improvement.

Effects of irrigation regimes on powdery scab disease and yield of potatoes

1986 ◽  
Vol 26 (6) ◽  
pp. 745 ◽  
Author(s):  
PA Taylor ◽  
SP Flett ◽  
RFde Boer ◽  
D Marshall
Keyword(s):  
Large Scale ◽  
Field Experiments ◽  
Field Trials ◽  
Powdery Scab ◽  
Infested Soil ◽  
Spongospora Subterranea ◽  
Potato Tubers ◽  
Potato Plants ◽  
Tuber Set ◽  
Large Scale Field

The period of susceptibility of potato tubers to powdery scab (Spongospora subterranea) was studied by inoculating potato plants with spores, or by watering plants in infested soil, at different stages of plant development in greenhouse conditions. Maximum susceptibility began about 1 week before the stage when 50% of stolons had swollen to at least 5-mm diameter (tuber set), and ended 3-4 weeks later. With holding irrigation water during this period reduced the severity of powdery scab by 65-75% in field experiments in 1981-82 and 1982-83, but had no apparent effect on disease severity in 3 out of 6 large-scale field trials during 1984-85.

The Importance of Similarity: How Gender Congruence Matters for the Impact of Leadership Training

2021 ◽  
pp. 009539972110642
Author(s):  
Trine H. Fjendbo ◽  
Christian B. Jacobsen ◽  
Seung-Ho An
Keyword(s):  
Leadership Training ◽  
Large Scale ◽  
Leadership Behaviors ◽  
Leadership Behavior ◽  
Female Gender ◽  
Perceived Leadership ◽  
Scale Field ◽  
Before And After ◽  
Large Scale Field ◽  
The Impact

Leadership training is key to promoting more active leadership, but the effects of leadership training can depend on the gender context. Gender congruence between manager and employee can affect how the manager employs leadership behaviors adapted from training and how employees perceive leadership behavior. Quantitative data on 474 managers’ 4,833 employees before and after a large-scale field experiment with leadership training enable us to examine changes in employee-perceived leadership following training. The results show that gender congruence between manager and employee is associated with stronger leadership training effects on employee-perceived leadership behaviors. Female gender congruence shows the most pronounced effects.

scholarly journals Photogrammetric avalanche volume measurements at Vallée de la Sionne, Switzerland

2001 ◽  
Vol 32 ◽  
pp. 141-146 ◽  
Author(s):  
Juauien Vallet ◽  
Urs Gruber ◽  
François Dufour
Keyword(s):  
Large Scale ◽  
Field Experiments ◽  
Test Site ◽  
Deposition Zone ◽  
Before And After ◽  
Large Scale Field ◽  
Volume Measurements ◽  
Snow Distribution ◽  
The Mean ◽  
The Difference

AbstractDuring winter 1999 three large avalanche events were triggered by explosives at SLF’s avalanche test site, Vallée de la Sionne, canton Valais, Switzerland. One important goal of these large-scale field experiments was to measure the release and deposition volumes of avalanches by photogrammetric methods. In this paper, the photogrammetric measurements of all three avalanches are summarized. For one avalanche event it was possible to realize the whole measuring procedure as planned, and to obtain volume measurements before and after the avalanche triggering In the other two avalanche events, the photographs before the triggering of the avalanche failed. Nevertheless the photographs taken after the avalanche provide valuable information on the fracture depth at the fracture line. The mean fracture depth of the largest avalanche was about 2.10 m, varying between 1 and 3.5 m over a width of > 1000 m. The total volume of the deposition of all three avalanche events was about 1300 000 m3. The deposits are distributed over a length of > 1000 m with depths up to 30 m. The difference between the released and deposited volumes proved that avalanches entrain a large amount of snow along the avalanche track. Furthermore, the snow distribution in the deposition zone provides important information about the behaviour of a dense flowing avalanche in the runout zone.

scholarly journals Recommending teams promotes prosocial lending in online microfinance

2016 ◽  
Vol 113 (52) ◽  
pp. 14944-14948 ◽  
Author(s):  
Wei Ai ◽  
Roy Chen ◽  
Yan Chen ◽  
Qiaozhu Mei ◽  
Webb Phillips
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Group Membership ◽  
Behavioral Mechanism ◽  
Scale Field ◽  
Large Scale Field ◽  
The Impact

This paper reports the results of a large-scale field experiment designed to test the hypothesis that group membership can increase participation and prosocial lending for an online crowdlending community, Kiva. The experiment uses variations on a simple email manipulation to encourage Kiva members to join a lending team, testing which types of team recommendation emails are most likely to get members to join teams as well as the subsequent impact on lending. We find that emails do increase the likelihood that a lender joins a team, and that joining a team increases lending in a short window (1 wk) following our intervention. The impact on lending is large relative to median lender lifetime loans. We also find that lenders are more likely to join teams recommended based on location similarity rather than team status. Our results suggest team recommendation can be an effective behavioral mechanism to increase prosocial lending.

The Impact of Social vs. Nonsocial Referring Channels on Online News Consumption

2020 ◽  
Author(s):  
Sagit Bar-Gill ◽  
Yael Inbar ◽  
Shachar Reichman
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Online News ◽  
Clickstream Data ◽  
News Consumption ◽  
Online Newspaper ◽  
News Website ◽  
The Impact ◽  
News Sharing ◽  
Sharing Behavior

The digitization of news markets has created a key role for online referring channels. This research combines field and laboratory experiments and analysis of large-scale clickstream data to study the effects of social versus nonsocial referral sources on news consumption in a referred news website visit. We theorize that referrer-specific browsing modes and referrer-induced news consumption thresholds interact to impact news consumption in referred visits to an online newspaper and that news sharing motivations invoked by the referral source impact sharing behavior in these referred visits. We find that social media referrals promote directed news consumption—visits with fewer articles, shorter durations, yet higher reading completion rates—compared with nonsocial referrals. Furthermore, social referrals invoke weaker informational sharing motivations relative to nonsocial referrals, thus leading to a lower news sharing propensity relative to nonsocial referrals. The results highlight how news consumption changes when an increasing amount of traffic is referred by social media, provide insights applicable to news outlets’ strategies, and speak to ongoing debates regarding biases arising from social media’s growing importance as an avenue for news consumption. This paper was accepted by Anandhi Bharadwaj, information systems.

Discussion Networks in Political Decision Making

2020 ◽  
Author(s):  
Ian Shapiro ◽  
Steven Richardson ◽  
Scott McClurg ◽  
Anand Sokhey
Keyword(s):  
Voting Behavior ◽  
Large Scale ◽  
Field Experiments ◽  
Political Discussion ◽  
Cross Sectional ◽  
Attitude Polarization ◽  
Political Networks ◽  
Research Designs ◽  
Large Scale Field ◽  
Complete Networks

Decades of work have illuminated the influence interpersonal networks exert on voting behavior, political participation, the acquisition of political knowledge, tolerance, ambivalence, and attitude polarization. These central findings have largely been grounded in examinations of political discussion and have remained robust to measurement differences of key concepts like disagreement, various data collection methods, and multiple research designs ranging from the cross-sectional to large-scale field experiments. By comparison, scholars understand considerably less about individuals’ motivation to approach their social contacts when it comes to politics, and about why networks produce the outcomes that they do; this calls researchers to reflect on and revisit previous research, but also to consider new paths of research. Although there is a growing body of promising work focused on “whole,” or complete, networks, much can also be gained by better integrating social psychology into the study of egocentric, or “core,” political networks. Answering these (and other) questions will help connect current findings, emerging methods, and nascent theory. Such connections should advance dialogues between research on group influence, discussion networks, and individual political behavior.

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