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Mobilizing Online, Marching Offline: Familias Unidas Por Nuestros Desaparecidos’ Strategic Use of Social Media
No full textHow do civilian women strategically steer their nonviolent social movements in reaction to the terrifying phenomena of forced disappearances under narco-violence? As a form of resistance, civilian women in Mexico have organized and joined groups to locate their missing family members and friends in response to risks posed by the pervasiveness of drug-related violence and the absence of official security services. Existing studies explore the role of women in peacebuilding initiatives to resist violence and obtain social change in Latin American countries. Still, there is limited research on the role of digital feminism in marginalized local collective groups, particularly under narco-violence. To fill in the gaps in research, this thesis project examines civilian women’s strategic use of social media to further their grassroots activism, from the case of the Familias Unidas Por Nuestros Desaparecidos Jalisco (FUNDEJ, Families United For Our Disappeared Jalisco) in Jalisco, Mexico in the 2020s. I argue that, per the notion of civilian women’s agency under narco-violence, these women strategically use social media platforms to advance their movement by utilizing social media that supports consolidating trans-local networks across different countries, states, and municipalities. Using YouTube videos, Facebook, and news media articles, I demonstrate that these civilian women have established strategies to conduct their movements by using social media for the following processes: (1) recruiting members, (2) documenting cases, (3) disseminating information, (4) conducting searches, and (5) pressuring politicians. This study theoretically contributes to the literature on digital feminism by emphasizing civilian women’s social media strategies under narco-violence, especially with a focus on trans-local learning processes. My findings also empirically expand the literature on civilian women’s resistance under narco-violence by incorporating new cases from non-metropolitan municipalities in Mexico
Assessment and Prediction of Meteorological Drought Using Machine Learning Algorithms and Climate Data
Get PDFMonitoring drought in semi-arid regions due to climate change is of paramount importance. This study, conducted in Morocco’s Upper Drâa Basin (UDB), analyzed data spanning from 1980 to 2019, focusing on the calculation of drought indices, specifically the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at multiple timescales (1, 3, 9, 12 months). Trends were assessed using statistical methods such as the Mann-Kendall test and the Sen’s Slope estimator. Four significant machine learning (ML) algorithms, including Random Forest, Voting Regressor, AdaBoost Regressor, and K-Nearest Neighbors Regressor, were evaluated to predict the SPEI values for both three and 12-month periods. The algorithms’ performance was measured using statistical indices. The study revealed that drought distribution within the UDB is not uniform, with a discernible decreasing trend in SPEI values. Notably, the four ML algorithms effectively predicted SPEI values for the specified periods. Random Forest, Voting Regressor, and AdaBoost demonstrated the highest Nash-Sutcliffe Efficiency (NSE) values, ranging from 0.74 to 0.93. In contrast, the K-Nearest Neighbors algorithm produced values within the range of 0.44 to 0.84. These research findings have the potential to provide valuable insights for water resource management experts and policymakers. However, it is imperative to enhance data collection methodologies and expand the distribution of measurement sites to improve data representativeness and reduce errors associated with local variations
Unfaithful Brands: How Brand Attachment Can Lead to Negative Responses to Influencer Marketing Campaigns
Get PDFThe use of influencer marketing campaigns has increased exponentially in recent years as brands have embraced such campaigns in order to capitalize on the relationships that social media influencers (SMIs) have built with their followers as a means of increasing brand awareness and sales. Although influencer marketing is extensively utilized in practice, much is still unknown about the effects of these campaigns, including potential downsides and audience-level variables that could moderate their success. In the current research, we find that partnering with SMIs is perceived as a norm violation for consumers with a high brand attachment, negatively impacting consumption intentions. Across five studies, we show that social media posts originating from an SMI, as opposed to the brand, lead to lower purchase intentions and willingness to pay for consumers with a high brand attachment. Additionally, we consider several moderators to this effect, including the salience of the sponsorship and consumers\u27 attachment to the SMI. We also provide process evidence by documenting that perceptions of a norm violation mediate these effects
Comparison of Chlorophyll, Carotenoid, and Alpha-tocopherol in E-beam, Gamma, and X-ray Treated \u27Granny Smith\u27 Apples
No full textThis study aimed to investigate the impact of phytosanitary radiation modality on the lipophilic antioxidants in peels of ‘Granny Smith’ apples. Freshly harvested ‘Granny Smith’ apples were treated with gamma (0.2 kGy), X-ray (0.495 kGy), and e-beam (0.77 kGy) radiation and stored in air at 1 ⁰C for up to four months. Non-irradiated apples were used as control fruit. Peels of irradiated and non-irradiated apples were collected and quantified for chlorophyll, carotenoids, alpha-tocopherol, and antioxidant capacity. The results indicated that gamma irradiation significantly reduced the chlorophyll content by 76% but did not impact X-ray and e-beam-treated apple peels, even though the dose delivered for the latter two was higher. Carotenoid concentrations were initially unchanged but increased in all samples by 55-77% during storage, with X-rays exhibiting the greatest increase. The alpha-tocopherol content remained unaffected by irradiation treatments and storage time. Antioxidant capacity, measured using the DPPH and ABTS methods, was initially unchanged by irradiation but decreased overall during storage, with the control sample exhibiting the greatest reduction. Overall, irradiation reduced chlorophyll and increased carotenoids during storage, which suggests a postharvest yellowing of apples, a negative effect of radiation on the postharvest quality of this fruit. Irradiated fruit showed higher antioxidant capacity than control fruit after four months, and the higher content of carotenoids might partially explain this beneficial effect of irradiation. The results suggest a differential effect of gamma, e-beam, and X-ray treatment on the antioxidant quality of fruit
Experimental Realization of Supergrowing Fields
Get PDFSupergrowth refers to the local amplitude growth rate of a signal being faster than its fastest Fourier mode. In contrast, superoscillation pertains to the variation of the phase. Compared to the latter, supergrowth can have exponentially higher intensities and promises improvement over superoscillation-based superresolution imaging. Here, we demonstrate the experimental synthesis of controlled supergrowing fields with a maximum growth rate of ∼19.07 times the system bandlimit. Our work is an essential step toward realizing supergrowth-based far-field superresolution imaging
Why I Think LinkedIn Is Age Neutral and How It Bridges Generational Gaps
Get PDFEarlier this morning, during a lively conversation with my Information Gone Wild podcast co-hosts— Maurice Coleman , Paul Signorelli , our marketing consultant, Abbie Fentress Swanson —we brainstormed strategies to better market our newly launched series. As we debated which platforms could effectively reach our diverse audience, I suggested focusing more on LinkedIn. My reasoning? LinkedIn is one of the few digital spaces that feels genuinely \u27age-neutral.\u27 Unlike platforms like Instagram, Snapchat, or TikTok, where generational lines are sharply drawn, LinkedIn is where people of all ages—from my 19- and 21-year-old sons who (shockingly) like my posts there, to my retired colleagues in their 70s and 80s—engage, share ideas, and stay connected. The team enthusiastically agreed, and it got me thinking: What makes LinkedIn uniquely age-neutral, and why is that so important
A Critical Evaluation of Loss Aversion as the Determinate of Effort in Compensation Framing
Get PDFA robust finding in managerial accounting research is that participants prefer contracts framed as bonuses to economically equivalent contracts framed as penalties. Another finding is that participants put forth more effort when facing penalty contracts than equivalent bonus contracts. Both results are commonly described as due to loss aversion, an integral portion of prospect theory. We test whether loss aversion is correlated with higher effort in an experiment with two parts. In the first part, we elicit individual participants\u27 loss aversion using two measures. In the second part of the experiment, participants choose costly effort to increase the likelihood of high versus low state-contingent payoffs framed as bonuses or penalties. We find significant differences in the effort chosen between treatments: participants put in significantly more effort when facing penalty contracts. However, we find no evidence that the degree of loss aversion from either measure correlates with effort choices as predicted by prospect theory. We find that only a quarter of participants display behavior consistent with the prospect theory, and for those, we see little evidence of the commonly cited features of loss aversion. While the most cited reason for the framing of incentives changing participant behavior is loss aversion, our results suggest that this reason is falsified. While the results from prior studies are replicable, the untested underlying mechanism is not loss aversion