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AbstractI model the behavior of decision-makers seeking conformity and influence in a connected population. The model allows for one-sided linking, with information flowing from the target to the link's originator. Conformity is achieved only with a social order, necessitating differentiated rewards despite ex ante homogeneity. The leader holds a strategic social location ex post, exerting influence independent of any leadership traits. A strong desire to influence produces non-conforming autonomous decision-makers. Socially detrimental multiple leaders can be sustained as well.

International audience ; We study a stochastic model of influence where agents have "yes" or "no" inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modeled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averages are only used to some extent. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like "most" or "at least a few".

International audience ; We study a stochastic model of influence where agents have "yes" or "no" inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modeled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averages are only used to some extent. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like "most" or "at least a few".

International audience ; We study a stochastic model of influence where agents have "yes" or "no" inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modeled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averages are only used to some extent. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like "most" or "at least a few".

International audience ; We study a stochastic model of influence where agents have "yes" or "no" inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modeled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averages are only used to some extent. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like "most" or "at least a few".

International audience ; We study a stochastic model of influence where agents have "yes" or "no" inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modeled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averages are only used to some extent. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like "most" or "at least a few".

This report examines Iran's influence in Iraq post-Saddam. This is in large part because the dominant parties in Iraq have long-standing ideological, political, and religious sectarian ties to Tehran. A key U.S. concern is that Iran, seeking to ensure the political prospects of its proteges, supports Shiite militias that are committing sectarian violence. Since December 2006, the Administration has tried to reverse Iranian influence in Iraq while also engaging Iran diplomatically on Iraq.

Influencer sind in unserer Gesellschaft nichts Unbekanntes. Lifestyle-Influencer
teilen unter anderem große Teile ihres Lebens über Social Media im Internet. Teilweise
zeigen sie auch ihre Familie und ihre Kinder. Doch was ist, wenn diese Kinder die
Hauptattraktion dieser Social Media-Kanäle werden?

Familienblogger wie "Familie Harrison" und vergleichbare Kanäle
teilen auf ihren YouTube-Kanälen unter anderem Videos von ihren Kindern. Dies
zeigt oft auch problematische Situationen, wie zum Beispiel Kinder in der
Badewanne oder im Pool. Auch in Momenten
der Verletzlichkeit, zum Beispiel nachdem sich ein Kind den Arm gebrochen hat
und gerade aus dem Krankenhaus zurückkehrt, wird die Kamera gezückt und das Ergebnis
medial verwertet.

Durch diese Videoblogs wird der komplette Lebenslauf der Kinder öffentlich
gemacht. Nicht nur der Name, sondern auch ihre Schule, Wohnort, Geburtstag und
die Persönlichkeit der Kinder werden im Internet preisgegeben. Dies bringt Gefahren mit sich, wie zum Beispiel das
missbräuchliche Verwenden der Videos. Das kann durch Pädophile mit entsprechendem
sexuellen Interesse an Kindern erfolgen oder auch durch Mobbing, sobald die
Kinder etwas älter sind.

Die Klickzahl solcher Videos bewegt sich oft im Millionenbereich.
Auch auf TikTok gehen Videos, welche leicht bekleidete Kinder zeigen, viral. Durch diese Klickzahlen bekommen die Eltern Werbeverträge, die ihnen
wiederum viel Geld einbringen. Die Familienblogger verletzen somit absichtlich die
Privatsphäre ihrer Kinder, um mehr Geld zu verdienen.

In dem Video von MrWissen2go erklärt der Professor für
Medienpädagogik Roland Rosenstock, dass die Kinder der Familienblogger durch diese Art von Videos einen emotionalen
Missbrauch erfahren. Die Folgen davon sind noch nicht abzuschätzen. Rosenstock
erklärt, dass die Erfahrung von Scham wichtig für Kinder sei und dass eben
diese oft verletzt wird. Die Folgen davon sind entweder Jugendliche, welche
keine Grenzen haben, oder Jugendliche, die gegenüber diesem Gefühl sehr sensibel
sind.

Die Intimität und Privatsphäre der Kinder wird verletzt und in der Öffentlichkeit preisgegeben, ohne dass die Kinder widersprechen oder darauf Einfluss
nehmen können. Das geschützte familiäre Umfeld, das wichtig für die ungestörte
Entwicklung von Kindern und Jugendlichen ist, ist nicht mehr gegeben. Der monetäre
Ertrag dieser Handlung kommt den Eltern zugute. Die Kinder müssen mit den resultierenden
Problemen, die auch sehr langfristig sein können, selbst umgehen.Quelle: https://youtu.be/8kESpELLv_U

This report describes Iran's influence over the post-Saddam government in Iraq. A key concern is that Iran is extending support for related militias in Iraq that are now responsible for much of the sectarian violence in Iraq.

A TECHNIQUE FOR MEASURING LEGISLATIVE INFLUENCE BASED ON A SURVEY INSTRUMENT ADMINISTERED TO CONGRESSIONAL STAFFERS IS PRESENTED. THE INSTRUMENT ELICITS INFORMATIONS ABOUT THE EFFECT OF INDIVIDUAL MEMBERS' PREFERENCES ON THE SUBSTANCE OF SPECIFIC PIECES OF LEGISLATION. THE MEASURE STANDS UP WELL UNDER SYSTEMATIC TESTS OF RELIABILITY AND VALIDITTY, AND IS APPLICABLE TO A WIDE RANGE OF BILLS FOR WHICH PLAUSIBLE ASSUMPTIONS OR REASONABLE INFERENCES ABOUT MEMBER PREFERENCES ARE NOT EASILY MADE.

In this manuscript, we introduce a new measure of political influence in California. Leveraging a new dataset of candidate rankings of their own endorsements, we use the Bradley-Terry model to estimate influence for a broad array of officeholders, interest groups, and endorsing organizations who participate in California politics. We call this new measure of influence Clout scores. Our measure of a person's clout is based on how much candidates for office desire that individual's endorsement. Specifically, we measure a political actor's clout by estimating the extent to which that actor's endorsement is preferred to a baseline endorsement group. Our estimates provide an original, empirically-grounded portrait of the distribution of political capital in California and highlight which political elites have the greatest capacity to swing election outcomes.