Wednesday, July 30, 2025

He Said, She Said - How misinformation clouds the memory of accuser and accused in sexual assault cases

 

Why your friends may be more susceptible to influence than you are



USC researchers examine who gets influenced online and why



University of Southern California





When it comes to susceptibility to influence on social media, “It’s not just about who you are—it’s about where you are in a network, and who you’re connected to,” said Luca Luceri, a lead scientist at USC’s Information Sciences Institute (ISI). A new study by Luceri and his team at ISI finds that the likelihood someone will be influenced online isn’t spread evenly across a social platform. Instead, it clusters.

They call this the Susceptibility Paradox; it’s a pattern in which users’ friends are, on average, more influenceable than the users themselves. And it may help explain how behaviors, trends, and ideas catch on—and why some corners of the internet are more vulnerable to influence than others.

The Paradox of Influence

To explore how this dynamic works, the researchers looked at two kinds of behavior on X/Twitter: influence-driven sharing, when people post something after seeing it from others in their network; and spontaneous sharing, when they post without that exposure. They found that in influence-driven cases, people who were less likely to be influenced were often surrounded by others who were more likely to share what they saw. This mirrors the Friendship Paradox, a finding from network science that says your friends are likely to have more friends than you do.

“What makes this interesting is that susceptibility is not just a personal trait,” said Luceri, who is also a Research Assistant Professor at USC Viterbi School of Engineering. “It’s something you can infer just from the  influenceability of users in your network, who surrounds you or interact with you.”

Where Does Susceptibility Cluster?

The team also found that these more influenceable users don’t appear randomly across the network. Jinyi Ye, an ISI research assistant and first-year Ph.D. student in computer science at USC, said she was struck by how tightly clustered these users appeared. “We could see they were connected and influenceable in the same way,” she said. This pattern, known as homophily, was especially strong in influence-driven sharing. People who post because they saw others do it were often part of tight-knit circles with similar behavior. This suggests that social influence operates not just through direct exchanges between individuals, but is also shaped and constrained by the structure of the network.

Predicting Who Will Share

The researchers also looked at whether it’s possible to predict who is likely to share content based on social influence. For influence-driven behavior, they found that susceptibility metrics alone were highly predictive. In many cases, knowing how a user’s friends behave was enough to estimate how the user would behave. Spontaneous sharing was different. When people shared content without apparent peer exposure, their decisions were harder to predict from the network alone. In this case, user-level features, such as account metadata and personal traits, were also very informative. This contrast reinforces a key point: some online behavior is shaped more by a person’s social environment, while other behavior comes down to individual characteristics.

What’s Next

The team is now looking at how susceptibility changes over time. “We want to see if people become more or less influenceable depending on what’s happening in their network,” said Ye. And while the findings are theoretical, the authors note their potential real-world applications. “Understanding how and where influence concentrates across a network is a first step toward mitigating its harmful effects,” she continued. Mapping how susceptibility clusters online could inform efforts to counter misinformation, support public health campaigns, or identify communities that may be especially vulnerable to influence.

The paper, The Susceptibility Paradox in Online Social Influence, was co-authored by Luca Luceri, Jinyi Ye, Julie Jiang, and Emilio Ferrara, and was presented at the 2025 International AAAI Conference on Web and Social Media (ICWSM), held June 23–26 in Copenhagen, Denmark. It was featured in the Spotlight Papers session and awarded a Best Paper Honorable Mention.

 

 

Designing drones that can fly in air ducts




Inria Nancy-Grand Est




  1. Air ducts: a contemporary issue for safety inspection

Air ducts are everywhere in modern buildings and underground networks, but are challenging to access for inspection. Their narrow dimensions and inability to support human weight prevent essential interventions to maintain air quality, heating, and air conditioning.

Small quadrotor drones offer a potential solution for exploring these air ducts because they can navigate both horizontal and vertical sections. However, they create airflows that recirculate inside the duct and destabilize the drone, creating important turbulences in an environment that has little space for error.

  1. Mapping the aerodynamic forces in a circular air duct

The team first investigated how the air circulates depending on the position of the drone in the air duct. To do so, they used a robotic arm and a force/torque sensor to measure the forces at hundreds of positions. This first “map” of forces shows a complex aerodynamic pattern and makes it possible to identify the “unsafe” parts of circular ducts, where the air recirculations push the drone towards the walls, and a safer position, where the recirculation forces cancel out.

  1. Flying and hovering small quadrotors in small air ducts

To maintain its position at the recommended point, the drone needs to know its current position in an environment which is typically dark and without any visual cues. The team combined small lasers and artificial intelligence (a neural network trained on motion capture data) to allow the small drone to stay in the position with the smallest turbulences, hence flying in a safer and more stable way.

  1. A step toward many applications

The results of this research open new and promising application domains for drones in industrial inspection and public safety. The next step is to develop a more application-oriented prototype with useful payloads, like cameras, thermal cameras, or gas sensors.

  1. A large-scale collaborative project

This study was led by Inria Senior Researcher Jean-Baptiste Mouret and PhD student Thomas Martin, both from the project-team HUCEBOT, a joint venture between CNRS, Inria and Université de Lorraine, within the Centre Inria at the University of Lorraine and the Lorraine Research Laboratory in Computer Science and its Applications (CNRS/University of Lorraine). It is a collaboration with the Institut des sciences du Mouvement - Etienne-Jules Marey (Aix-Marseille Université/CNRS) and the Laboratoire de Conception, Fabrication, Commande (Université de Lorraine). This work reflects the strength of the partnerships between the French institutions that are Aix-Marseille Université, CNRS, Université de Lorraine, and Inria.

  1. References

Scientific article: https://www.nature.com/articles/s44182-025-00032-5

Citation: Thomas Martin, Adrien Guénard, Vladislav Tempez, Lucien Renaud, Thibaut Raharijaona, Franck Ruffier & Jean-Baptiste Mouret. Flying in air ducts. npj Robotics 3, 16 (2025). https://doi.org/10.1038/s44182-025-00032-5

  1. Media (videos, photos)

Video: https://www.youtube.com/watch?v=7je2hUnGwms

 


Researchers identify protein that evolved to enable photosynthesis in land plants



Discovery holds promise for improved herbicides and increased efficiency of photosynthesis in food crops

Normal and albino arabidopsis 

image: 

Picture of normal vs albino arabidopsis seedlings. The albino seedling skl1-8 is missing the activity of the SKL1 protein.

view more 

Credit: Thanh Nguyen



FOR IMMEDIATE RELEASE from the UNIVERSITY OF TORONTO

July 30, 2025


TORONTO, ON – Evolutionary plant biologists at the University of Toronto (U of T) have identified a protein that evolved approximately 500 million years ago, enabling plants to convert light into energy through photosynthesis as they moved from aquatic environments to land.

The discovery provides a target for sustainable herbicides against parasitic plants and other weeds and may help boost food security by increasing the efficiency of photosynthesis in crops.

Using genome analysis and CRISPR gene editing, the researchers pinpointed Shikimate kinase-like 1 (SKL1) as a protein present in all land plants— but no other organisms — and showed the protein evolved from the Shikimate kinase (SK) enzyme to play an essential role in forming the chloroplasts needed for photosynthesis.

“One of the fundamental questions we investigate in this study is: what were the initial events that contributed to simple aquatic organisms moving onto land” says Michael Kanaris, lead author of the paper published recently in Molecular Biology and Evolution.

“A role for SKL1 in chloroplast biogenesis has previously been determined in Arabidopsis, a flowering plant studied extensively in modern laboratories. However, the biological function for SKL1 has not been established in early land plants.”

Kanaris conducted the research with Professor Dinesh Christendat in the Department of Cell & Systems Biology in the Faculty of Arts & Science at U of T, whose work focuses on the evolution of new protein functions. When DNA replication errors result in two identical copies of a protein, one copy may take on new functions as organisms adapt to changing environments over millions of years of evolution.

One example is the SKL1 protein in flowering plants, which originated as a copy of the SK protein, but gained a new function. Christendat’s prior research determined that flowering plants — evolving approximately 130 million years ago — became stunted and albino without SKL1 due to defective chloroplast development that impairs photosynthesis.

To look even further back into the evolution of land plants, the researchers used CRISPR genome editing to disrupt SKL1 function in common liverworts, which were among the first plants to colonize land about 500 million years ago. The team then put liverwort SKL1 into an albino flowering plant lacking SKL1, which resulted in seedlings that grew a green set of leaves with rescued chloroplasts.

The result was so unexpected that the researchers repeated the experiment several times. They confirmed that liverworts with disrupted SKL1 are pale and have stunted growth, just like flowering plants lacking SKL1, suggesting SKL1 might have the same function in chloroplast development in a plant significantly older than more modern flowers.

“My colleagues and I were astonished because liverworts are a very ancient plant species,” says Christendat. “We assumed that the way SKL1 functions in liverwort would be very different to a more recently evolved plant. Not only is SKL1 function conserved over 500 million years of plant evolution, it is also essential for their existence on land.”

The researchers note that while all land plants have SKL1 — as revealed by an analysis of gene sequences from diverse liverworts, ferns, mosses and flowering plants —  ancestors to modern-day plants including water-living algae have only the original SK protein.

“The inability to identify SKL1 in organisms predating land plants suggests an important role for this gene coinciding with the emergence of terrestrial plants,” says Kanaris.

Christendat says knowing the role SKL1 plays in photosynthesis could both improve the ability to grow crops and make it a more effective target for new generations of herbicides, as the metabolic pathway that involves the SK protein is the current target of most herbicides. “Certain domains of the SKL1 protein vary across plants, so it may be possible to target SKL1 from specific plants to ensure safety and agricultural sustainability.”

– 30 –