[Dispatch] 'The Sanders Coalition' Revived?…Democratic Socialist Francesca Hong Shaking Up Wisconsin
A new wave of Democratic-socialist candidate Francesca Hong is stirring in Wisconsin, potentially shifting the political landscape of the Midwest. Hong, a 37-year-old Korean-American, is campaigning as a member of the "Sanders Union," a group of progressive Democrats inspired by Bernie Sanders. She has been conducting a "vote mobilization" tour across 24 U.S. cities, urging voters to participate in the upcoming Democratic primary for the Wisconsin governorship on November 11th.
Hong's campaign has focused heavily on addressing the growing concerns over data centers, which are seen as a critical issue in the state. On the ground in Wisconsin, supporters like QC chemist Alan Garza and quality control worker Jenifer Peres have highlighted the impact of data centers on electricity and water bills, as well as their effect on land values and local communities. Hong's campaign has proposed a one-year moratorium on new artificial intelligence data centers as part of their platform.
The candidate's focus on addressing the high cost of living and data center issues has resonated with voters, particularly in traditionally conservative Midwestern regions. Supporters argue that the candidate's message of lowering property taxes for working-class families and increasing the minimum wage to $20 an hour could help win over voters who previously supported Republican candidates.
Despite the challenges ahead, including the upcoming general election in November, Hong's campaign and supporters remain optimistic. They cite historical examples of progressive candidates winning in similar political climates and emphasize the power of grassroots organizing to turn out voters. As Hong prepares to compete against both Democratic and Republican candidates, her campaign aims to unite a diverse coalition of supporters in a fight for a more progressive Wisconsin.
Written by urgent.news from Hankyoreh's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.